bluuebunny/crossref_metadata_2025 huggingface dataset:
ATUAÇÃO DO AEE NO ENSINO SUPERIOR: RELATO DE EXPERIÊNCIA
Authors: Matesco Rocha Margarette , Mello Alessandra de Fátima Giacomet , Pires Michaelli Maria
Published: November 2022

A inclusão de pessoas com deficiência no ensino superior, apesar de recente e até este momento não contar com legislação específica que a normatize e oriente, tem se apoiado em documentos legais que preconizam a educação inclusiva e o atendimento educacional especializado dentro das possibilidades permitidas pela transversalidade em todos os níveis de ensino garantida pela legislação e pelos princípios e fundamentos da educação como direito humano incondicional a todos os indivíduos. Nesta direção, a Universidade Estadual do Oeste do Paraná - Unioeste - de Francisco Beltrão tem realizado através do Programa Institucional de Ações Relativas às Pessoas com Necessidades Especiais - PEE, o Atendimento Educacional Especializado - AEE - dos seus acadêmicos com deficiência ou necessidade especial, atuando junto aos estudantes,  Colegiados  e  Centros propondo e realizando discussões, orientações e sugestões que permitam a formulação, revisão e/ou readequação de práticas pedagógicas que construam um ensino superior cada vez mais inclusivo e factível para acadêmicos com deficiência concluírem sua formação. O presente artigo apresenta o relato de uma experiência de AEE com uma acadêmica do 5º ano do curso de medicina do referido campus, diagnosticada com Transtorno de Déficit de Atenção e Hiperatividade - TDAH e em situação de estágio curricular. Relata os procedimentos empregados pelo PEE e pela Pedagoga que a acompanhou do momento da detecção da necessidade de apoio até a conclusão dos estágios. Finda com o registro dos resultados do trabalho do AEE e os avanços obtidos pela acadêmica em sua construção como profissional.
ATENDIMENTO EDUCACIONAL ESPECIALIZADO E TRANSTORNO DO ESPECTRO AUTISTA NO ENSINO SUPERIOR: ESTUDOS DE CASO EM UNIVERSIDADE PÚBLICA NO PARANÁ
Authors: Leonel Ana Paula da Silva , Nunes Goulart Letícia , Maria Pires Michaelli , Teixeira Kellen Ananda , Da Silva Érika Gabrielly
Published: November 2022

O objetivo deste trabalho é relatar o Atendimento Educacional Especializado (AEE) realizado em Universidade Estadual Pública a dois acadêmicos autistas do Curso de Ciências Biológicas contribuindo como base para outros profissionais da área em seus atendimentos. Visto que conhecimentos na área são escassos. Foi identificado a importância da formação do docente de AEE, conhecimento das características individuais dos alunos, organização de cronograma de vida diária e de estudos e promoção de habilidades sociais e de comunicação.
ACESSIBILIDADE, EDUCAÇÃO SUPERIOR E ENSINO REMOTO: EFETIVAÇÃO CAMUFLADA
Authors: Piaia Tiarles Mirlei , Orlando Rosimeire Maria , Picharillo Alessandra Daniele Messali
Published: November 2022

A pandemia do Covid 19 trouxe a necessidade de mudanças emergências em vários âmbitos da sociedade, inclusive no âmbito educacional. Entretanto, a urgência das medidas pode não ter contemplado todas as necessidades para a garantia da acessibilidade em suas diversas dimensões, visando a promoção do ensino na modalidade remota. Com base nessa discussão, este estudo teve por objetivo analisar a acessibilidade no ensino remoto para a educação superior em uma universidade federal, em tempos de pandemia Covid 19, a partir da política educacional. Foi realizada a busca por documentos publicados pelo Ministério da Educação e resoluções publicadas pela Pró-Reitoria de Graduação -ProGrad e Pró-Reitoria de Assuntos Comunitários e Estudantis-ProACE de uma universidade federal do interior do estado de São Paulo, no período de março de 2020 a dezembro de 2020. A análise dos dados se deu a partir dos apontamentos de Dermeval Saviani em suas produções referente ao contexto pandêmico. Os resultados da pesquisa indicam que não houve a implementação de uma política educacional que se atentasse para a garantia da acessibilidade, em sua amplitude, na educação superior, no ano de 2020, com a adoção do ensino remoto.
COORDENADORIA DE ACESSIBILIDADE DA UFPA
Authors: Gonçalves Arlete Marinho , Teixeira Sônia Regina dos Santos
Published: November 2022

Este artigo tem como objetivo abordar as experiências e desafios do Núcleo de Acessibilidade da Universidade Federal do Pará, a partir da descrição e discussão das ações desenvolvidas com estudantes com deficiência, por meio do Programa de Acessibilidade - PROACESS. A metodologia adotada foi o estudo descritivo-analítico de base documental. Para tanto, foram analisados documentos do Programa de Acessibilidade – PROACESS e da Política Nacional de Educação Especial. Os resultados apontaram que o Programa apresenta possibilidades de apoio psicopedagógico, auxílios financeiros, bolsas acadêmicas, acompanhamento técnico especializado e formação continuada de acordo com o tipo de deficiência. Conclui-se que os projetos que fazem parte do PROACESS imprimem caminhos que podem avançar na inclusão da pessoa com deficiência, no que tange ao acesso e à permanência. No entanto, há desafios, como a necessidade de ampliação de verbas e maior acesso das pessoas com deficiência para ocupar as vagas ofertadas pela universidade.
PROCESSOS HUMANIZADORES NO ENSINO SUPERIOR: UM OLHAR INCLUSIVO SOBRE A SAÚDE MENTAL E A PESSOA COM DEFICIÊNCIA
Authors: Rossetto Elisabeth , Duim Rufato Fabricio , Luana Crestani Theodoro Débora
Published: November 2022

No século XXI, vivenciamos o processo de inclusão de alunos com deficiência no Ensino Superior e, consequentemente, uma luta constante para fazer valer seus direitos. Tal fato requer das Universidades uma preparação cada vez mais qualificada, a fim de possibilitar a esses sujeitos o apoio necessário para o seu processo de aprendizagem. De modo semelhante, à promoção da saúde mental também exige olhar para esse sujeito na busca de elementos que possibilitam atendê-lo adequadamente e lhe asssegure seu direito como ser humano. Para isso, se faz necessário o conhecimento sobre como a saúde mental vem repercutindo na vida do ser humano, considerando que a subjetividade se caracteriza como um processo complexo, que se dá a partir das relações estabelecidas pelo sujeito com os outros e com o mundo. À vista disso, pautados no referencial teórico da Psicologia Histórico Cultural, buscou-se discutir sobre como as instituições de Ensino Superior podem compreender o aluno em sofrimento psíquico, com ou sem deficiência, para que receba o apoio necessário. Demais, objetiva-se analisar os elementos sociais disparadores e mantenedores desse quadro, considerando o sistema político-econômico vigente. Como resultado, espera-se refletir sobre a relevância da saúde mental e a importância de contextos educacionais de Ensino Superior mais humanizadores e inclusivos que contribuam para a construção de um sujeito mais consciente, com melhor qualidade de vida.
ANÁLISE DA EXPANSÃO DA CANA-DE-AÇÚCAR EM GOIÁS/ANALYSIS OF SUGARCANE EXPANSION IN GOIÁS
Authors: Nobre Cunha Gabriela , Pasqualetto Antonio
Published: November 2022

A cana-de-açúcar avança em Goiás, gerando preocupações. Objetivou-se avaliar a expansão do cultivo da cana-de-açúcar em Goiás. Para tanto, na metodologia, realizou-se levantamento de dados sobre a área cultivada, a produção, a produtividade e a receita bruta da cana-de-açúcar por mesorregião no período de 2010 a 2019 junto ao Instituto Brasileiro de Geografia e Estatística - IBGE e Companhia Nacional de Abastecimento - CONAB. Os Resultados demonstraram expansão da lavoura de cana-de-açúcar em todas as mesorregiões do Estado, destacando-se a mesorregião Sul com maior área plantada, produção e receita, junto com a mesorregião Leste com maiores produtividades. Na mesorregião sul, as microrregiões Sudoeste Goiano, Quirinópolis e Meia Ponte e o município de Quirinópolis com maior quantidade produzida. A cana-de-açúcar representa importante receita dentre as culturas na região Centro e está se estabelecendo nas mesorregiões Norte e Noroeste de Goiás. Os impactos locais e regionais são sentidos no aspecto econômico pelas receitas geradas e retorno aos municípios produtores, no aspecto social pela geração de emprego e renda familiar, contribuindo sobremaneira para o desenvolvimento do Estado de Goiás.
Conceal the Data with Ultra Advanced Smart Key Using Cryptography Algorithm
Authors: Janaki Raman Palaniappan
Published: November 2022

Data is a game changer for any business all over the world. A portion of data leak benefits the companies, and they earn a huge amount out of it. It is our own responsibility to protect the data rather than to be a victim. In this paper, I present an advanced distinctive method of protecting the data using a smart key. The idea is any unauthorized third party cannot access the data. Only the party who has smart key can unlock to view the data. The algorithm is designed in such a complex method, which makes it difficult for any hackers to hack the data. Algorithm is developed with multiple techniques where the smart key has been integrated with it. Consolidation of multiple techniques makes it unique and complex to encipher the data. This has been tested on Images and Text Files. The research reveals the effective way of hiding the data and complex to decode the file when smart key is not known. Thus giving relief to a true data owners.
Establishment of SMS Dengue Severity Score
Authors: Bhandari Sudhir , Rankawat Govind , Goyal Barkha , Lohmror Anurag , Gupta Vishal , Singh Ajeet
Published: November 2022

Background: Dengue infection is a disease that progresses rapidly to life-threatening conditions. Our goal was to develop a practical scoring system based on clinical profiles and routine tests to predict the severity of infection. Methods: This cross-sectional observational study included 500 patients with dengue infection. Patient demographics, clinical symptoms, regular laboratory tests, and results were collected. Dengue infections are divided into three classes, depending on their severity: dengue fever (DF), dengue hemorrhagic fever (DHF), and dengue shock syndrome (DSS). Based on the total score, patients were divided into three severities. Results: Patients with DSS and DHF scored higher with worsening clinical features and routine laboratory tests compared to DF. Clinical predictors of severity include older age, increased white blood cell (WBC) count, increased hematocrit, increased prothrombin time, decreased platelet count, decreased blood pressure, presence of peri-gallbladder (GB) edema, third space loss, hepatomegaly, and other organ involvement. The severity range is 0–12, and the score is 0–3 for DF, 4–8 for DHF, and 9–12 for DSS. Based on the derived scores, patients were classified according to their original severity in 63% of cases. Conclusion: This dengue infection severity scores correctly classified patients according to their original severity grade of DF, DHF, or DSS. This scoring system helps to quickly assess dengue infections and start treatment according to the correct severity category.
Assessment of Visceral Fat Volume and Its Correlation with the Severity of Hepatic Fibrosis in Patients with NAFLD
Authors: Varghese Jijo , Devadas Krishnadas , Cyriac Joseph Rathan , Tom Oommen Tharun , Hareendran Atul , Nahaz Nibin , Narayanan Vijay , George Bony
Published: November 2022

Introduction: Nonalcoholic fatty liver disease (NAFLD) is one of the leading causes of chronic liver disease. The spectrum of NAFLD includes simple steatosis, nonalcoholic steatohepatitis (NASH), advanced fibrosis, and cirrhosis. Our study aimed to calculate visceral fat volume at the L3–L4 vertebral level and its association with hepatic fibrosis assessed by transient elastography. Methods: All patients above 18 years undergoing computed tomography (CT) abdomen in the Department of Radiodiagnosis of Medical College Thiruvananthapuram during the study period with NAFLD were included. Transient elastography was done. Patients were categorized to advanced fibrosis (>10 kPa) and without advanced fibrosis (<10 kPa). The area under the receiver operating characteristic (AUROC) curve was plotted. Results: Sixty-four patients comprised 36 males and 28 females. Thirty-one (46%) were having advanced fibrosis (transient elastography>10 kPa) and 34 (54%) patients were without advanced fibrosis. About 0.733 was the AUROC for visceral fat in predicting advanced fibrosis. The cutoff was 167.5cm3 (sensitivity was 77.4% and specificity was 51.5% in predicting advanced fibrosis). Conclusion: About 0.733 was the AUROC for visceral fat in predicting advanced fibrosis. The cutoff was 167.5cm3 (sensitivity was 77.4% and specificity was 51.5% in predicting advanced fibrosis).
Unmet Need for Further LDL-C Lowering in India despite Statin Therapy: Lipid Association of India Recommendations for the Use of Bempedoic Acid
Authors: Mehta Vimal , Puri Raman , Duell P Barton , Iyengar S S , Wong Nathan D , Yusuf Jamal , Mukhopadhyay Saibal , Pradhan Akshaya , Muruganathan Arumugam , Wangnoo S K , Kapoor Dheeraj , Rastogi Ashu , Tiwaskar Mangesh H , Mahajan Kunal , Narasingan S N , Agarwala Rajeev , Bordoloi Neil , Soumitra Kumar , Chakraborty Rabin , Shetty Sadanand , Saboo Bansi , Khan Aziz , Prabhakar D , Nath Khanna Narendra , Mehta Ashwani , Bansal Manish , Kasliwal Ravi , Mehrotra Rahul , Chag Milan , Sheikh Altamesh , Sattur Gururaj Balvantrao , Manoria P C , Pareek K K , Pancholia A K , Melinkeri Rashida Patanwala , Nanda Rashmi , Kalra Dinesh
Published: November 2022

Lipid-lowering therapy plays a crucial role in reducing adverse cardiovascular (CV) events in patients with established atherosclerotic cardiovascular disease (ASCVD) and familial hypercholesterolemia. Lifestyle interventions along with high-intensity statin therapy are the first-line management strategy followed by ezetimibe. Only about 20–30% of patients who are on maximally tolerated statins reach recommended low-density lipoprotein cholesterol (LDL-C) goals. Several factors contribute to the problem, including adherence issues, prescription of less than high-intensity statin therapy, and de-escalation of statin dosages, but in patients with very high baseline LDL-C levels, including those with familial hypercholesterolemia and those who are intolerant to statins, it is critical to expand our arsenal of LDL-C-lowering medications. Moreover, in the extreme risk group of patients with an LDL-C goal of ≤30 mg/dL according to the Lipid Association of India (LAI) risk stratification algorithm, there is a significant residual risk requiring the addition of non-statin drugs to achieve LAI recommended targets. This makes bempedoic acid a welcome addition to the existing non-statin therapies such as ezetimibe, bile acid sequestrants, and PCSK9 inhibitors. A low frequency of muscle-related side effects, minimal drug interactions, a significant reduction in high-sensitivity C-reactive protein (hsCRP), and a lower incidence of new-onset or worsening diabetes make it a useful adjunct for LDL-C lowering. However, the CV outcomes trial results are still pending. In this LAI consensus document, we discuss the pharmacology, indications, contraindications, advantages, and evidence-based recommendations for the use of bempedoic acid in clinical practice.
Neurological Manifestations and Their Effect on Outcome in Second Wave of COVID-19 Pandemic: A Retrospective Cohort Study
Authors: Muley Arti , Mitra Sona , Bhojani Hema , Bavishi Ashish , Nakum Dinesh , Kotwani Priya , Patwardhan Vaibhav , Shah Jahnavi , Mahendru Shourya
Published: November 2022

Aim: There is a need for a better understanding of the relation of various neurological symptoms and complications with manifestations and outcomes of coronavirus disease 2019 (COVID-19). Hence, we planned this study to get an insight into the relation of neurological manifestations and COVID-19. Materials and methods: This was a retrospective study. All patients ≥18 years in age, admitted with reverse transcription-polymerase chain reaction (RT-PCR) confirmed COVID-19 were included in the study. Their clinical records were accessed for collecting demographic and laboratory data. The data collected were analyzed for prevalence and pattern of neurological symptoms at admission and neurological complications developed during hospitalization. It was also analyzed to find the relation of neurological manifestations with duration of hospital stay, requirement of bilevel positive airway pressure (BiPAP) or ventilator, severity of disease, development of neurological complications, and mortality. Results: A total of 440 patients were included. The mean age was 59.28 ± 13.28 years. The most common neurological symptom at presentation was headache while the most common neurological complications were altered sensorium, cerebrovascular stroke, seizure, and encephalitis. Significantly, more patients with neurological complications than those without had severe disease and needed ventilation. Duration of hospitalization was significantly longer (16.26 ± 5.15 vs 12.73 ± 4.89, p = 0.0173) and mortality was also significantly higher (OR 6.59, 95% CI 2.23–19.43; p = 0.0006) in patients with neurological manifestations. Conclusion: The presence of neurological manifestations is associated with greater morbidity and mortality in patients with COVID-19 and thus warrants more aggressive treatment. However, a study of association of individual neurological manifestation with severity of COVID-19 will provide a more meaningful insight regarding the approach to the management of such patients
Avaliação da metodologia de ensino e aprendizagem de derivadas parciais e direcionais em tempos de atividades remotas
Authors: Rodrigues Fortes Patricia , Camargo Mariza , Mendes Felipe , Silveira Sidnei Renato
Published: November 2022

Este artigo apresenta um relato de experiência do uso das Tecnologias Digitais da Informação e da Comunicação – TDICs em aulas remotas de Cálculo Diferencial e Integral. Objetivou-se conhecer a opinião de acadêmicos do curso de Engenharia Ambiental e Sanitária da UFSM/FW acerca do uso de recursos didáticos associados às TDICs, pela necessidade de se trabalhar remotamente durante a pandemia do coronavírus, no estudo das derivadas parciais e direcionais (cálculo de várias variáveis). Concluiu-se pela opinião do público-alvo envolvido que a implementação da proposta fez fomentar a compreensão dos conteúdos estudados, considerando os objetivos de aprendizagem condicionados ao período analisado.
Grupo de ginástica na estratégia saúde da família: experiências à luz da clínica histórico-cultural
Authors: Almeida Jamildo Rios de , Sousa Thamirys Regina Marinho
Published: November 2022

Este relato de experiência tem como objetivo contribuir para o trabalho em grupos na Estratégia Saúde da Família mediante o conteúdo da ginástica. Como arcabouço teórico-metodológico pautou-se pela reflexão materialista histórica e dialética: da investigação do objeto à exposição do pensamento da realidade prática do grupo de ginástica, sob o viés científico do desenvolvimento histórico-social da corporalidade humana e dos fundamentos da clínica histórico-cultural. As dificuldades foram: ausência de utilização dessa ferramenta de trabalho pela maioria das equipes; fragilidade científica para o trabalho com grupos no SUS; falta de delimitação dos conteúdos do grupo; baixa adesão e alta rotatividade de usuários; fragilidades na constituição de grupalidade. Como conclusões, trazemos que o trabalho promoveu reflexão dos trabalhadores; menor padronização e protocolização das condições de vida dos usuários; compreensão social das reais necessidades da comunidade, produção de vínculo na USF e adesão ao grupo de ginástica, socialização e democratização deste conhecimento.
Enterprise Model Library for Business-it-Alignment
Authors: Hillmann Peter , Schnell Diana , Hagel Harald , Karcher Andreas
Published: November 2022

The knowledge of the world is passed on through libraries. Accordingly, domain expertise and experiences should also be transferred within an enterprise by a knowledge base. Therefore, models are an established medium to describe good practices for complex systems, processes, and interconnections. However, there is no structured and detailed approach for a design of an enterprise model library. The objective of this work is the reference architecture of a repository for models with function of reuse. It includes the design of the data structure for filing, the processes for administration and possibilities for usage. Our approach enables consistent mapping of requirements into models via meta-data attributes. Furthermore, the adaptation of reference architectures in specific use cases as well as a reconciliation of interrelationships is enabled. A case study with industry demonstrates the practical benefits of reusing work already done. It provides an organization with systematic access to specifications, standards and guidelines. Thus, further development is accelerated and supported in a structured manner, while complexity remains controllable. The presented approach enriches various enterprise architecture frameworks. It provides benefits for development based on models.
Multi-Sink Convergecast Protocol for Large Scale Wireless Sensor Networks
Authors: Diédié Gokou Hervé Fabrice , Kouassi Koigny Fabrice , N’Takpé Tchimou
Published: November 2022

Wireless sensor nodes are designed to collect information about their immediate environment. Once gathered, such data are forwarded via a multi-hop communication pattern to a remote gateway, also known as the sink. This process referred to as the convergecast may often require several sinks in order to improve network efficiency and resilience. Provided that load among the latter nodes are well balanced and packet losses are mitigated. This paper aims to design such a protocol by combining clustering, path-vector routing and sinks’ duty cycle scheduling schemes to help balance load and minimize message overhead. Simulation results proved that this solution outperforms DMS-RP (Dynamic Multi-Sink Routing Protocol), a recent state-ofthe-art contribution, in terms of delay minimization, packet delivery and network lifetime enhancement.
Curating divinity: Religious souvenirs, shopkeepers and bazaar curation
Authors: Chopra Radhika
Published: November 2022

This paper explores the universe of souvenirs of Sikh Gurus and martyrs available in the bazaars around Sikhism’s most sacred shrine, the Darbar Sahib in Amritsar. Rather like objects in museum exhibitions, souvenir art actively produces ideas of divinity and martyrdom. The deliberate arrangements of Guru and martyr souvenirs in shopwindows demonstrate the ‘sense’ of curation of ordinary shopkeepers in the bazaar. Shop displays, I argue, resemble the care of sacred art by museum curators. But there is more to shop displays than mere imitation. I analyse the vis-à-vis between the souvenir displays of two modern martyrs, Jarnail Singh Bhindranwale, the militant leader of separatist Khalistan, and Bhagat Singh, the nationalist hero, that express bazaar understandings of martyr souvenirs as affective objects, possessing both ritual and political value. The curated displays in museums and shopwindows are critical in creating a conscious, purposive aura around modern Sikh martyrdom.
After Versailles
Authors: Whitehand Jeremy
Published: November 2022

Editorial comment
Completing the foundations
Authors: Whitehand Jeremy
Published: November 2022

Editorial comment
Políticas acadêmicas de atendimento aos discentes dos cursos de graduação de uma universidade federal
Authors: Nascimento Francisvaldo Dos Santos , Santos Diana De Oliveira , Nascimento Lindalva Gouveia
Published: November 2022

A presente pesquisa teve como objetivo identificar as políticas acadêmicas de atendimento aos discentes dos cursos de graduação em dois campi da Universidade Federal da Paraíba. A pesquisa seguiu uma abordagem quantitativa e análise documental. Foram identificadas as seguintes políticas acadêmicas de assistência estudantil - os Auxílios Moradia, Residência, Restaurante, Transporte, Creche, Bolsa Permanência, Aluno Apoiador do Projeto Milton Santos de Acesso ao Ensino Superior e Comitê de Inclusão e Acessibilidade. Verificou-se a importância dessas ações estruturadas de assistência estudantil na universidade com subsídio de bolsas como uma política relevante que apoiam a permanência dos estudantes nos cursos, principalmente aos que se encontram em situação de vulnerabilidade econômica e social.
Educação ambiental na perspectiva da gestão escolar: uma revisão de escopo
Authors: Nepomoceno Taiane Aparecida Ribeiro
Published: November 2022

O estudo reuniu as percepções de gestores escolares da educação básica acerca das dimensões da educação ambiental no Brasil. Para tanto, desenvolveu-se uma revisão de escopo da literatura, tipo estado do conhecimento, nas bases de dados da SciELO, Scholar Google e Web of Science. Foram considerados os estudos desenvolvidos no Brasil, publicados nos últimos sete anos, sendo identificadas na Análise Textual Discursiva empregada três categorias emergentes: Educação ambiental como ferramenta para a resolução de problemas ambientais locais; Educação ambiental como processo disciplinar em sala de aula e Educação ambiental como prática colaborativa e de engajamento. Conclui-se que a educação ambiental, a partir da gestão escolar é pouco discutida, carecendo maiores investimentos na formação inicial e continuada, para gestores e professores.
A narrativa como combate: a escrita da história da Guerra Holandesa no século XVII
Authors: Clementino Kleber
Published: November 2022

A narrativa como combate: a escrita da história da Guerra Holandesa no século XVII, de Kleber Clementino, investiga os processos por meio dos quais, na época moderna, um acontecimento era recriado no universo dos textos, elaborando notícias e uma memória histórica. Tomando como caso de estudo a Guerra Holandesa (1624-1654), o autor examina vasto conjunto de fontes impressas e manuscritas, produzidas na Europa e nos domínios ultramarinos, entre 1625 e 1699, que se encarregaram da tarefa de veicular versões, fossem sobre episódios, fossem sobre a totalidade daquela guerra, seus motivos, seus lances grandiosos, seus heróis, seus vilões ou mesmo sobre as intercessões celestes nas batalhas e escaramuças. Discutindo os impactos da difusão da imprensa naquelas sociedades, Kleber Clementino argumenta que o século XVII concebia uma distinção fundamental entre a relação – o informe que relata, que cumpre o papel de enunciar o advento do inédito – e a História – obra associada ao saber retórico, dedicada tanto a fundar uma memória quanto a preconizar vínculos éticos entre o passado e o presente, por meio de noções como exemplo (a ser seguido) e espelho (por que se moldar). Tudo isso atravessado pela urgência das questões políticas que abriam as bolsas dos patronos, punham a pena nas mãos dos autores e lubrificavam as máquinas dos tipógrafos. Refletindo a respeito dos usos do tempo, da escrita e da guerra como dispositivos mobilizáveis nas lutas simbólicas por poder, o livro contribui para o entendimento dos atritos e colaborações entre cultura e política, nos impérios do Antigo Regime.
COMPARATIVE MORPHOLOGICAL CHARACTERIZATION OF INPUT GUNSHOT INJURIES, FORMED DURING A DIRECT SHOT FROM A 9-MM MAKAROV PISTOL AND AS A RESULT OF A REBOUND
Authors: A.O. Gusentsov , E.M. Kildyushov , E.V. Tumanov
Published: November 2022

The article presents the results of an experimental study of the characteristics of gunshot injuries formed when a 9-mm Makarov pistol was fired and a bullet hit, as well as as a rebound. The purpose of the study was to develop a comparative morphological characteristic of the input gunshot injuries formed during a direct shot from a 9-mm Makarov pistol and as a result of a rebound from the surface of various obstacles. To achieve this goal, a ballistic experiment was carried out, during which gunshot damage to biological and non-biological targets was formed, formed as a result of a rebound when a 9-mm Makarov pistol was fired, as well as when a bullet hit directly. Input gunshot injuries were subjected to a comprehensive forensic medical examination using the following methods: visual, measuring, microscopic, photographic methods, ultraviolet and infrared examination, contact-diffusion, radiological and histological methods, applied statistical analysis. Based on the results of the study, a comparative morphological characteristic of the input gunshot injuries formed during a direct shot from a 9-mm Makarov pistol and as a result of a rebound from the surface of various obstacles was developed. The developed characteristic can be used during a forensic medical examination to preliminary assess the circumstances of the occurrence of gunshot injury.
STREPTOCOCCUS-ASSOCIATED PSORIASIS: CLINICAL MANIFESTATIONS AND AUTONOMIC NERVOUS SYSTEM DISORDERS
Authors:   Belarusian State Medical University, T.A. Sikorskaya , A.P. Muzychenko ,   Belarusian State Medical University, M.V. Kachuk ,   Belarusian State Medical University, A.V. Sikorsky ,   Belarusian State Medical University, N.V. Mikulchik ,   Belarusian State Medical University
Published: November 2022

The article presents the clinical manifestations of streptococcus-associated psoriasis, the most important of which are the young age, the connection with a streptococcal infection, the minimum duration of disease and the maximum localization of dermatosis on the head. Of the disorders of the autonomic nervous system in this group of patients, pronounced shifts of the parasympathetic division in the second position of the active clinoorthostatic test are observed.
Across-track Extension of Retrieved Cloud and Aerosol Properties for the EarthCARE Mission: The ACM-3D Product
Authors: Qu Zhipeng , Barker Howard W. , Cole Jason N. S. , Shephard Mark W.
Published: November 2022

Abstract. The narrow cross-section of cloud and aerosol properties retrieved by L2-algorithms that operate on data from EarthCARE’s nadir-pointing sensors gets “broadened” across-track by an algorithm that is described and demonstrated here. This Scene Construction Algorithm (SCA) consists of four sub-algorithms. At its core is a radiance-matching procedure that works with measurements made by EarthCARE’s Multi-Spectral Imager (MSI). In essence, an off-nadir pixel gets filled with retrieved profiles that are associated with a (nearby) nadir pixel whose MSI radiances best match those of the off-nadir pixel. The SCA constructs a 3D array of cloud and aerosol (and surface) properties for entire frames that measure ~6,000 km along-track by 150 km across-track (i.e., the MSI’s full swath). Constructed domains out to ~15 km on both sides of nadir are used explicitly downstream as input for 3D radiative transfer models that predict top-of-atmosphere (TOA) broadband solar and thermal fluxes and radiances. These quantities are compared to com-mensurate measurements made by EarthCARE’s BroadBand Radiometer (BBR), thus facilitating a continuous closure assessment of the retrievals. Three 6,000 km x 200 km frames of synthetic EarthCARE observations were used to demonstrate the SCA. The main conclusion is that errors in modelled TOA fluxes that stem from use of 3D domains produced by the SCA are expected to be less than ±5 W m-2 and rarely larger than ±10 W m-2. As such, the SCA, as purveyor of in-formation needed to run 3D radiative transfer models, should help more than hinder the radiative closure assessment of EarthCARE’s L2 retrievals.
Asymmetric changes of maximum and minimum temperatures in the Dabie Mountains, China
Authors: Zhao Yongmei , Tang Liyan , Zhu Changming , Luo Yuan , Zhou Fang
Published: November 2022

Abstract. This study used high-quality daily temperature data from 1960–2019, recorded at five observing stations (Huoqiu, Huoshan, Jinzhai, Lu’an, and Shucheng) in the city of Lu’an (China), to study the asymmetric changes of maximum and minimum temperatures in the region of the Dabie Mountains in western Anhui Province (China). Results showed that changes in annual maximum and minimum temperatures over the studied 60 years were asymmetric; the average climatic trend rate of minimum temperature was 0.262 °C/10a, while that of maximum temperature was 0.198 °C/10a, i.e., the temperature increase of the former was approximately 1.3 times that of the latter. Asymmetric changes of maximum and minimum temperatures were evident in winter, summer, and autumn throughout the entire 60-year period and in spring for the first 45 years. The spatial distribution of the asymmetric changes was uneven with decrease both from high latitudes to low latitudes and from high elevations to low elevations. High-elevation high-latitude areas such as Jinzhai, Lu’an, and Huoqiu exhibited the most significant asymmetric changes seasonally and annually. Abrupt changes in the trends of maximum and minimum temperatures occurred in 1994. Three periodicities were found in the maximum temperature series, i.e., 15–18, 32, and 4–6 years, and four periodicities were found in the minimum temperature series, i.e., 9–10, 32, 20–22, and 4 years. The 4–6-year periodicity of maximum temperature and the 4-year periodicity of minimum temperature (which passed the 95% significance test) should be associated with El Niño.
Seasonal and interannual variability of the pelagic ecosystem and of the organic carbon budget in the Rhodes Gyre (Eastern Mediterranean): influence of winter mixing
Authors: Habib Joelle , Ulses Caroline , Estournel Claude , Fakhri Milad , Marsaleix Patrick , Pujo-Pay Mireille , Conan Pascal , Fourrier Marine , Coppola Laurent , Mignot Alexandre , Mortier Laurent
Published: November 2022

Abstract. The Rhodes Gyre is a cyclonic persistent feature of the general circulation of the Levantine Basin in the eastern Mediterranean Sea. Although it is located in the most oligotrophic basin of the Mediterranean Sea, it is a relatively high primary production area due to strong winter nutrient supply associated with the formation of Levantine Intermediate Water. In this study, a 3D coupled hydrodynamic-biogeochemical model (SYMPHONIE/Eco3M-S) was used to characterize the seasonal and interannual variability of the Rhodes Gyre’s ecosystem and to estimate an annual organic carbon budget over the 2013–2020 period. Comparisons of model outputs with satellite data and compiled in situ data from cruises and BioGeoChemical-Argo floats revealed the ability of the model to reconstruct the main seasonal and spatial biogeochemical dynamics of the Levantine Basin. The model results indicated that during the winter mixing period, phytoplankton first progressively grow sustained by nutrient supply. Then, short episodes of convection driven by heat loss and wind events, favoring nutrient injections, organic carbon export, and inducing light limitation on primary production, alternate with short episodes of phytoplankton growth. The estimate of the annual organic carbon budget indicated that the Rhodes Gyre is an autotrophic area with a positive net community production in the upper layer (0–150 m) amounting to 31.2 ± 6.9 g C m-2 year-1. Net community production in the upper layer is almost balanced over the seven-year period by physical transfers, (1) via downward export (16.8 ± 6.2 g C m-2 year-1) and (2) through lateral transport towards the surrounding regions (14.1 ± 2.1 g C m-2 year-1). The intermediate layer (150–400 m) also appears to be a source of organic carbon for the surrounding Levantine Sea (7.5 ± 2.8 g C m-2 year-1) mostly through the subduction of Levantine Intermediate Water following winter mixing. The Rhodes Gyre shows high interannual variability with enhanced primary production, net community production, and exports during years marked by intense heat losses and deep mixed layers. However, annual primary production appears to be only partially driven by winter vertical mixing. Based on our results, we can speculate that future increase of temperature and stratification could strongly impact the carbon fluxes in this region.
Forecasting tropical cyclone tracks in the Northwest Pacific based on a deep-learning model
Authors: Wang Liang , Wan Bingcheng , Zhou Shaohui , Sun Haofei , Gao Zhiqiu
Published: November 2022

Abstract. Tropical cyclones (TCs) are one of the most severe meteorological disasters, making rapid and accurate track forecasts crucial for disaster prevention and mitigation. Because TC tracks are affected by various factors (the steering flow, thermal structure of the underlying surface, and atmospheric circulation), their trajectories present highly complex nonlinear behavior. Deep learning has many advantages in simulating nonlinear systems. In this paper, we explore the movement of TCs in the Northwest Pacific from 1979 to 2021 based on deep-learning technology, divided into training (1979–2014), validation (2015–2018), and test sets (2019–2021), and create 6–72 h TC track forecasts. Only historical trajectory data are used as input for evaluating the forecasts of the three recurrent neural networks utilized: recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU) models. The GRU approach performed best; to further improve forecast accuracy, a model combining GRU and a convolutional neural network (CNN) called GRU_CNN is proposed to capture the characteristics varying with time. By adding reanalysis data of the steering flow, sea-surface temperatures, and geopotential height around the cyclone, we can extract sufficient information on the historical trajectory features and three-dimensional spatial features. The results show that GRU_CNN outperforms other deep-learning models without CNN layers. Furthermore, by analyzing three additional environmental factors through control experiments, it can be concluded that the historical steering flow of TCs plays a key role, especially for short-term predictions within 24 h, while sea-surface temperatures and geopotential height can gradually improve the 24–72-h forecast. The average distance errors at 6 h and 12 h are 17.22 km and 43.90 km, respectively. Compared with the forecast results of the Central Meteorological Observatory, the model proposed herein is suitable for short-term forecasting of TC tracks.
Data Driven Regional Weather Forecasting
Authors: Clark Randall , Fairbanks Luke , Sanchez Ramon , Wacharanan Pacharadech , Abarbanel Henry
Published: November 2022

Abstract. Using data alone, without knowledge of underlying physical models, nonlinear discrete time regional forecasting dynamical rules are constructed employing well tested methods from applied mathematics and nonlinear dynamics. Observations of environmental variables such as wind velocity, temperature, pressure, etc allow the development of forecasting rules that predict the future of these variables only. A regional set of observations with appropriate sensors allows one to forgo standard considerations of spatial resolution and uncertainties in the properties of detailed physical models. Present global or regional models require specification of details of physical processes globally or regionally, and the ensuing, often heavy, computational requirements provide information of the time variation of many quantities not of interest locally. In this paper we formulate the construction of data driven forecasting (DDF) models of geophysical processes and demonstrate how this works within the familiar example of a ‘global’ model of shallow water flow on a mid-latitude β plane. A sub-region, where observations are made, of the global flow is selected. A discrete time dynamical forecasting system is constructed from these observations. DDF forecasting accurately predicts the future of observed variables.
Ultra-distal tephra deposits and Bayesian modelling constrain a variable marine radiocarbon offset in Placentia Bay, Newfoundland
Authors: Monteath Alistair , Bolton Matthew , Harvey Jordan , Seidenkrantz Marit-Solveig , Pearce Christof , Jensen Britta
Published: November 2022

Abstract. Radiocarbon dating marine sediments is complicated by the strongly heterogeneous age of ocean waters. Tephrochronology provides a well established method to constrain the age of local radiocarbon reservoirs and more accurately calibrate dates. Numerous ultra-distal cryptotephra deposits (non-visible volcanic ash >3000 km from source) have been identified in peatlands and lake sediments across north-eastern North America, and correlated with volcanic arcs in the Pacific north-west. Previously, however, these isochrons have never been identified in sediments from the north-west Atlantic Ocean. In this study, we report the presence of two ultra-distal cryptotephra deposits; Mazama Ash and White River Ash eastern lobe (WRAe), in Placentia Bay, North Atlantic Ocean. We use these well dated isochrons to constrain the local marine radiocarbon reservoir offset (ΔR) and develop a robust Bayesian age-depth model with a ΔR that varies through time. Our results indicate that the marine radiocarbon offset in Placentia Bay was -126±151 years (relative to the Marine20 calbration curve) at the time of Mazama Ash deposition (7622±18 C.E.) and -396±144 years at the time of WRAe deposition (852–853 C.E.). Changes in ΔR coincide with inferred shifts in relative influences of the Labrador Current and the Slopewater curret in the bay. An important conclusion is that single-offset models of ΔR are easiest to apply and often hard to disprove. However, such models may oversimplify reservoir effects in a core, even over relatively short time scales. Acknowledging potentially varying offsets is critical when ocean circulation and ventilation characteristics have differed over time. The addition of tephra isochrons permits the calculation of semi-independent reservoir corrections and verification of the single ΔR model.
Modeling river water temperature with limiting forcing data: air2stream v1.0.0, machine learning and multiple regression
Authors: Almeida Manuel C. , Coelho Pedro S.
Published: November 2022

Abstract. The prediction of river water temperature (WT) is of key importance in the field of environmental science. Water temperature datasets for low order rivers are often in short supply, leaving lake/reservoir water quality modelers with the challenge of extracting as much information as possible from existing datasets, usually without the use of physically based models, due to the significant amount of data required (e.g., river morphology, degree of shading, wind velocity). In this study, five models are used to predict the water temperature of 83 rivers (with 98 % missing data): three machine-learning (ML) algorithms (Random Forest, Artificial Neural Network and Support Vector Regression), the hybrid Air2stream model with all available parameterizations and a Multiple Regression. The machine learning hyperparameters were optimized with a Tree-structured Parzen Estimators algorithm and the results of each model are presented as an ensemble of 12 individual optimized model runs. The meteorological datasets were obtained from the fifth-generation atmospheric reanalysis, ERA5. In general terms, the results of the study demonstrate the vital importance of hyperparameter optimization and suggest that, from a practical modeling perspective, when the number of predictor variables and observed river WT values are limited, the application of all the models considered in this study is relevant (models ensemble mean annual – Root mean square error (RMSE): 2.75 ºC ± 1.00; Nash-Sutcliffe efficiency (NSE): 0.56 ± 0.48). The model that performed best was Random Forest (annual mean - RMSE: 3.18 ºC ± 1.06; NSE: 0.52 ± 0.23). The results also revealed the existence of a logarithmic correlation among the RMSE between the observed and predicted river WT and the watershed time of concentration. The RMSE increases by an average of 0.1 ºC with a one-hour increase in the watershed time of concentration. (watershed area: μ= 106 km2; σ=153).
A General Model of Radial Dispersion with Wellbore Mixing and Skin Effect
Authors: Shi Wenguang , Wang Quanrong , Zhan Hongbin , Zhou Renjie
Published: November 2022

Abstract. The mechanism of radial dispersion is important for understanding reactive transport in the subsurface and for estimating aquifer parameters required in the optimization design of remediation strategies. Many previous studies demonstrated that injected solute firstly experienced a mixing process in the injection wellbore, then entered a skin zone after leaving the injection wellbore, and finally moved into the aquifer through advective, diffusive, dispersive, and chemical-biological-radiological processes. In this study, a physically-based new model and associated analytical solutions in Laplace domain are developed by considering the mixing effect, skin effect, scale effect, aquitard effect and media heterogeneity (in which the solute transport is described in a mobile-immobile framework). This new model is tested against a finite-element numerical model and experimental data. The results demonstrate that the new model performs better than previous models of radial dispersion in interpreting the experimental data. To prioritize the influences of different parameters on the breakthrough curves, a sensitivity analysis is conducted. The results show that the model is sensitive to the mobile porosity and wellbore volume, and the sensitivity coefficient of wellbore volume increases with the well radius, while it decreases with increasing distance from the wellbore. The new model represents the most recent advancement on radial dispersion study that incorporates a host of important processes that are not taken into consideration in previous investigations.
Technical note: A sigmoidal soil water retention curve without asymptote that is robust when dry-range data are unreliable
Authors: de Rooij Gerrit Huibert
Published: November 2022

Abstract. In a recently introduced parameterization for the soil water
retention curve (SWRC) with a sigmoid wet branch and a logarithmic dry
branch, the matric potential at the junction point of the sigmoid and the
logarithmic branch (hj) was a fitting parameter, while that at
oven dryness (hd) was derived from the fitting parameters. The latter
is undesirable, especially if reliable data in the dry range are limited.
Therefore, an alternative is presented in which shape parameter α
instead of hd is a derived parameter, and hd can be fitted or fixed.
The resulting relationship between α and hj is such that it
prevents correct fits for hj. Fortunately, an expression for hj is
found that allows it to be replaced by α as a fitting parameter. The
corresponding parameter space is well behaved and has fewer internal bounds
defined by restraining relationships between parameters than the space for
hj as a fitting parameter. The few available values of hj in the
literature are in line with those according to the new expression. The
reformulated SWRC is fitted to data of 21 soils by shuffled complex
evolution. The paper gives the main features of an accompanying open source
fitting code. The curves fit the data well, except for some clayey soils. A
theoretical value of hd performs well for a wide range of soils. The new
SWRC simplifies to an earlier junction model of the SWRC based on a
well known power-law SWRC if α is very large.
Multi-hazard analysis of flood and tsunamis on the western Mediterranean coast of Turkey
Authors: Yavuz Cuneyt , Yilmaz Kutay , Onder Gorkem
Published: November 2022

Abstract. Flooding has always been a devastating hazard for social and
economic assets and activities. Especially, lowland areas such as coastal
regions can be more vulnerable to inundations. The combination of different
natural hazards observed at the same time is definitely worsening the
situation in the affected regions. The goal of this study is to conduct a
distinctive multi-hazard analysis considering flood hazards with the
contribution of potential earthquake-triggered tsunamis that might be
observed throughout the Fethiye coastline and city center. For this purpose,
tsunami hazard curves are generated based on Monte Carlo simulations.
Comprehensive stochastic hazard analyses are performed considering the
aleatory variability of earthquake-triggered tsunamis and epistemic
uncertainty of floods having 10-, 50-, and 100-year return periods. Numerical
simulations are conducted to combine the potential tsunamis and flood events
that are able to adversely affect the selected region. The results of this
study show that the blockage of stream outlets due to tsunami waves
drastically increases the inundated areas and worsens the condition for the
selected region.