bluuebunny/crossref_metadata_2025 huggingface dataset:
A RELEVÂNCIA DO EXERCÍCIO FÍSICO NA QUALIDADE DE VIDA DE IDOSOS: NOS ASPECTOS DA SAÚDE MENTAL
Authors: Oliveira Elisa Regina Pereira , Chaves Lígia Gisely dos Santos , Nascimento Everton Vinícius Souza do
Published: June 2022

Introdução:A prática de exercício físico regularmente traz inúmeros resultados positivos para uma vida saudável, manter o corpo ativo proporciona muitos benefícios para a qualidade de vida do indivíduo. Para a Organização Mundial da Saúde (OMS) Qualidade de Vida está relacionada na percepção do indivíduo de sua posição na sociedade, no contexto que integra a saúde física e psicossocial,cultura, valores, expectativas e preocupações em relação ao social. O exercício físico promove melhorias no bem estar físico, social e emocional.OBJETIVO: Análise das produções atuais em relação a estudos de qualidade de vida, exercício, idosos e saúde mental. MÉTODO: Foi realizada a busca na base de dados no SciELO, no período de 2015 a dezembro de 2021. Utilizado busca manual das referências, primeiramente empregou a busca com os termos nas seguintes combinações: (Educação física) and (saúde mental), após analise título e resumo, foi realizado uma nova filtragem com os termos (exercício) and (qualidade de vida) encontrou um quantitativo de vinte e quatro artigos, usando os critérios de exclusão, por faixa etária, idioma e prática de exercício, somente quatro foram selecionados, os quais se enquadraram ao objetivo proposto. Resultados: Análise dos artigos, após filtragem, foram encontrados quatro artigos, com termo relevante aos níveis de atividade física e a melhora nos escores da saúde mental, em especial nos sintomas depressivos. CONCLUSÃO: A presente pesquisa conclui que ainda há poucos estudos relacionados sobre a temática, Exercício físico e Qualidade de vida em pessoas com transtornos mentais. Sejam eles no contexto nacional ou internacional, identificando a necessidade de mais discussões sobre o tema abordado.
CORRELAÇÃO, APLICABILIDADE E EFICACIA DA TOXINA BOTULÍNICA TIPO A PARA TRATAMENTO E PREVENÇÃO DE RUGAS FACIAIS: UMA REVISÃO DA LITERATURA
Authors: Menezes Millena de Almeida Barreto , Moreira Jéssica Alves , Oliveira Pierri Emanoel de Abreu , Leite Alexsandra Laurindo
Published: June 2022

INTRODUÇÃO: As rugas são apenas um sinal de envelhecimento da pele. Isso se deve principalmente à perda de colágeno - substância responsável por dar sustentação à pele - e também ocorre quando perdemos a elastina (que aumenta a flacidez da pele) e o ácido hialurônico responsável por preenchê-la. Além disso, a repetição de expressões faciais - como "franzir a testa" ou "apertar os olhos" - fará com que o rosto fique marcado naquele local, aumentando gradativamente a força muscular da região, marcando cada vez mais essas expressões, uma vez que as  rugas podem ser divididas em dois tipos: rugas dinâmicas, rugas que são visíveis quando fazemos alguns exercícios musculares - podem ser linhas de expressão na testa, ao redor dos olhos ou entre as sobrancelhas - rugas estáticas, que aparecem mesmo quando o rosto está parado porque eles já são NS mais profundos. METODOLOGIA: O presente trabalho é caracterizado como uma revisão integrativa da literatura. Onde destaca-se que a revisão Integrativa da Literatura é a busca por evidencias para alcançar e ultrapassar desafios, diante do exponencial aumento de informações atualizadas no setor saúde, a qual realizara uma busca nas bases de dados usando os Descritores em Ciências da Saúde (DeCS): Toxina botulínica; rugas faciais; tratamento. Esses descritores serão cruzados nas bases de dados utilizando o operador booleano AND (Toxina botulínica AND rugas faciais AND tratamento). RESULTADOS: os artigos usados enquadram-se dentro dos critérios de inclusão e exclusão estabelecido anteriormente, nos últimos cinco anos (2016 à 2021), obtendo-se no total 5 artigos sendo 2 do ano de 2020 1 artigos do ano de 2016, 1   artigo de 2018 e 1 de 2021. DISCUSSÃO:  A toxina botulínica deve ser injetada por via intramuscular no corpo humano. Esta neurotoxina então funciona para se telefonar a receptores nas extremidades dos nervos motores, uma vez que ocorre um bloqueio do musculo ao contato com as terminações nervosas. CONCLUSÃO: Uma vez que as rugas faciais causadas pela hipercinética muscular e envelhecimento cutâneo observou-se que estas podem ser tratadas com a toxina botulínica tipo A, pois este tipo de toxina aplicado no tratamento de rugas dinâmicas e estáticas pode promover a simetria facial e fazer com que o rosto pareça menos cansado e envelhecido.
NULIDADES RELATIVAS : UM OLHAR FRENTE AO CÓDIGO DE PROCESSO PENAL
Authors: Quintão Beatriz Souza Barros , Nascimento Tainara Oliveira do , Borges Dandy de Jesus Leite
Published: June 2022

O presente artigo tem por objetivo promover um estudo da prevalência do sistema da instrumentalidade das formas, em detrimento ao sistema da legalidade das formas. O método utilizado para o desenvolvimento da pesquisa fora o dedutivo, com análise dos pensamentos doutrinários, como os dos Ilustres Juristas Ada Pellegrini, Aury Lopes Junior e Ricardo Jacobsen Gloeckner, com obras de alta relevância para o objeto em estudo. Além disso, o método qualitativo constitui a pesquisa, examinando a incidência das nulidades na esfera processual e a imersão do sistema da instrumentalidade das formas nas nulidades relativas, o qual, genuinamente, fora extraído do processo civil e inserido no processo penal para permitir a flexibilização da decretação das nulidades relativas quando arguidas oportunamente. O resultado a ser aferido com a aplicação do princípio da instrumentalidade das formas na esfera processual penal demonstra a mutação formal, em que o prejuízo, apesar de demonstrado, poderá não ser decretado, conforme o entendimento do magistrado ao caso concreto, se a finalidade restar resguardada. As críticas a esse sistema se fazem presente sobre o argumento de violação à princípios constitucionais e maior poder ao estado, em detrimento do acusado. Verifica-se, então, que o sistema da instrumentalidade das formas, resguarda-se de grave contentamento, expondo ao risco de gerar ainda mais injustiças no âmbito     penal, caso a nulidade relativa seja convalidada.
ABORDAGEM DE CRIANÇAS AUTISTAS EM ODONTOPEDIATRIA: UMA REVISÃO DE LITERATURA
Authors: Hidalgo Lucas Duarte , Souza José Antonio Santos
Published: June 2022

O Transtorno do Espectro Autista (TEA) é uma condição de saúde caracterizada pelo déficit na socialização e comunicação verbal e não verbal; e comportamental. Sua etiologia está relacionada a fatores genéticos e ambientais. No Brasil, estima-se que, aproximadamente, 600 mil pessoas sejam autistas. O tratamento odontológico em pacientes autistas é considerado desafiador tanto para os pais quanto para os profissionais. Diante disso, o objetivo desse trabalho foi realizar uma Revisão de Literatura sobre o atendimento odontológico em crianças diagnosticadas com TEA. Uma busca nas Bases de Dados Biblioteca Virtual em Saúde e Google Acadêmico foi realizada a fim de responder a seguinte pergunta: ‘Como deve ser o atendimento odontológico em crianças com Transtorno do Espectro Autista?’. O paciente autista precisa ser assistido por uma equipe multidisciplinar. É importante que haja uma abordagem precoce a fim de estabelecer o contato do autista com o profissional e evitar muitos problemas bucais, uma vez que os pais serão instruídos a cuidar da higiene bucal das crianças. As principais técnicas de abordagem de Odontopediatria podem ser utilizadas, tais como: dizer-mostrar-fazer, distração, dessensibilização, controle de voz, reforço positivo e modelação. Existem alguns métodos específicos para pacientes autistas, que auxiliam o cirurgião-dentista durante o tratamento, são eles: Picture Exchange Communication System (PECS); Applied Behavior Analysis (ABA) e o Treatment and Education of Autistic and Related Communication Handicapped Children (TEACCH). Portanto, o profissional precisa conhecer as principais características do paciente autista, orientar os pais/responsáveis e cuidadores quanto à prevenção, técnicas de escovação e dieta; com relação ao atendimento odontopediátrico, pode-se lançar mão de técnicas de condicionamento psicológico não-farmacológico e PECS, ABA ou TEACCH.
O VÍRUS DA IMUNODEFICIÊNCIA HUMANA: O QUE OS IDOSOS CONHECEM A RESPEITO?
Authors: Araujo Júlia de Lacerda Machado de , Apolinário Fabíola Vargas
Published: June 2022

A pesquisa consiste em uma revisão integrativa de 8 artigos selecionados a partir da Biblioteca Virtual em Saúde com o objetivo de identificar o conhecimento dos idosos sobre o vírus da imunodeficiência humana (HIV). A análise dos artigos revisados mostrou que possui déficit de conhecimento sobre tratamento, fatores de risco, transmissão e prevenção do HIV entre os idosos. Conclui-se que devido à falta de conhecimento, os idosos possuem atitudes de risco que os tornam susceptíveis ao contágio do HIV e que a educação em saúde voltada para esse público além de promover a quebra de tabus a respeito da sua sexualidade é de suma importância para o enriquecimento do conhecimento e consequente prevenção sobre HIV para a terceira idade.
O IMPACTO DA PANDEMIA DA COVID-19 NA CADEIA DE SUPRIMENTOS DAS INDÚSTRIAS
Authors: Santos Caique Vieira dos , Freitas Kaique Cesar Cruz , Macedo Thiago Ribeiro , Bonini Luci Mendes de Melo , Rodrigues Roberto Alves , Nunes Samuel Fernandes
Published: June 2022

Estuda-se o impacto da pandemia da COVID-19 na cadeia de suprimentos das indústrias. Este trabalho tem como objetivo identificar e descrever os principais impactos da pandemia na cadeia de suprimentos das indústrias pela visão dos gestores e colaboradores. Foi realizada uma revisão de literatura sobre o tema, e buscou-se identificar trabalhos que abordam o tema. Em seguida, realizou-se uma pesquisa de opinião com 33 cidadãos que estão ligados aos departamentos de compra de algumas empresas. Os resultados mostraram que houve impacto na cadeia de suprimentos com diferentes percepções desses colaboradores e a maioria entende que houve despreparo ou desconhecimento da situação a fim de se planejar melhor. Concluiu-se que, tendo em vista as dificuldades geradas por um período sem precedentes houve despreparo, falta de planejamento e há ainda que de forma iniciante uma preocupação com planejamentos futuros.
DESENVOLVIMENTO SUSTENTÁVEL E BARRAGENS DE REJEITOS DE MINERAÇÃO: A POSSIBILIDADE DA TRIBUTAÇÃO AMBIENTAL PARA A SUSTENTABILIDADE DA INDÚSTRIA DA MINERAÇÃO
Authors: Ferreira Adriano Fernantes  , Lima Maria Auxiliadora Pinto de  , Guedes Narlana Aldenora Loureiro 
Published: June 2022

Não obstante sua elevada importância social, a mineração produz riscos demasiadamente altos ao ambiente. Diante da crise ambiental evidenciada pelo colapso de barragens de rejeitos de mineração ocorrido em Mariana/MG, urge refletir acerca do desenvolvimento sustentável na indústria da mineração. Nesse sentido, a pesquisa objetivou investigar se o imperativo de busca por novas soluções, inovações e reorientação tecnológica está sendo implementado na gestão dos rejeitos de mineração no Brasil. Então, os resultados obtidos revelaram que melhor que a adoção de ordens ou proibições é o emprego da tributação ambiental para atividades que, apesar de lícitas, não sejam desejáveis para o meio ambiente, como mecanismo jurídico para se implementar o desenvolvimento sustentável na gestão dos resíduos minerários, efetivando os princípios do poluidor-pagador e do protetor-recebedor. Verificou-se que, através da tributação ambiental, é possível induzir a indústria à maior eficiência ambiental, pois cada emitente buscaria pagar o menor tributo, sem inviabilizar o desenvolvimento econômico. A metodologia utilizada foi a pesquisa qualitativa e a pesquisa bibliográfica.
A RESPONSABILIDADE DOS PEACEKEEPERS AO INCORRER EM CRIMES DE COMPETÊNCIA DO TRIBUNAL PENAL INTERNACIONAL
Authors: Pagliosa Barbara Marchioro , Ribeiro Karla Pinhel
Published: June 2022

Este trabalho propõe analisar as imunidades concedidas aos soldados em missões de paz da ONU, desafiando-as, na medida em que os Peacekeepers cometam crimes equivalentes aos prepostos na jurisdição específica do Tribunal Penal Internacional. Sabendo-se que tal imunidade é uma garantia já consolidada pela Corte Internacional de Justiça, o que se pretende é construir um entendimento crítico do dano causado por um soldado que tem permissão para entrar no território de outros Estados a fim de proteger as pessoas de graves violações dos direitos humanos internacionais ou de direito humanitário internacional, e, no entanto, efetua graves crimes contra essa mesma população. Com intuito de se estabelecer uma resposta ou se aproximar de uma solução doutrinária, o que o presente trabalho buscará compreender é a possibilidade de jurisdição do TPI sobre estes agentes tão somente quando as supracitadas situações tocarem no que diz respeito sobre os quatro crimes regidos pelo Estatuto de Roma, quais sejam, crimes contra humanidade, genocídio, crimes de guerra e agressão.
DA LACUNA AO FÁTICO: ASPECTOS DO REVENGE PORN E O ADVENTO DA LEI 13.718/18
Authors: Alves Júnior Silvio Moreira
Published: June 2022

O presente trabalho tem como principal objetivo estudar o instituto da Pornografia da Vingança, chamada também de "Revenge Porn" bem como as lacunas legais que existiam antes e depois do advento da lei 13.718/18.
ORIENTAÇÕES SOBRE PRÁTICAS ALIMENTARES SAUDÁVEIS NA PRIMEIRA INFÂNCIA: REVISÃO DE LITERATURA
Authors: Paleta Julia da Silva , Souza José Antonio Santos
Published: June 2022

As escolhas de alimentos inadequados podem impactar a vida da criança, comprometendo seu metabolismo, interferindo assim no seu crescimento, desenvolvimento, aprendizagem e no desempenho escolar. O objetivo do presente trabalho é realizar uma Revisão de Literatura Narrativa, a fim de abordar as principais orientações acerca das práticas alimentares saudáveis durante a primeira infância. Foram utilizados os dados provenientes de publicações científicas das Bases de Dados: Biblioteca Virtual em Saúde e PubMed/Medline, utilizando os descritores “práticas alimentares saudáveis”, “odontopediatria”, “cárie dentária” e “dieta cariogênica” com o operador booleano "OR". A alimentação oferecida nos primeiros meses/anos de vida da criança é de suma importância, visa-se sempre incluir a formação de hábitos saudáveis desde o primeiro momento, para que condições de vida saudável permaneça por toda a vida do indivíduo. Os hábitos alimentares são influenciados por diversos fatores, estes incluem a genética, socioeconômico, cultura, raça, religião, entre outros. A falta de práticas alimentares saudáveis durante a primeira infância podem levar à cárie dentária, má formação dental, hipofunção das glândulas salivares e diminuição da qualidade de vida da criança. Diante dos dados apresentados, pode-se concluir que, os profissionais da saúde, incluindo o cirurgião-dentista, devem aconselhar os pais e/ou responsáveis pelas crianças sobre a importância dos hábitos alimentares saudáveis durante a primeira infância, além da higiene bucal.
PERFIL EPIDEMIOLÓGICO DE INTOXICAÇÕES EXÓGENAS EM CERES - GO NO PERÍODO DE 2008 A 2017
Authors: Verdiono Weslen Lima , Amorim Aline Alves de , Baptista Lorena Timoteo , Cruz Maíza Gomes da , Silva Nayra Oliveira Dias , Dias Júnior Walter
Published: June 2022

A intoxicação exógena ocorre quando o indivíduo entra em contato com alguma substância que cause prejuízo para a homeostase corporal. Os principais intoxicantes encontrados são medicamentos, agrotóxicos, raticidas, produtos químicos de limpeza doméstica, entre outros. A intoxicação por esses agentes pode contribuir para o surgimento de algum agravo para saúde da população. No Brasil, o governo classifica a intoxicação exógena como uma doença ou agravo de notificação compulsória. Objetivo: Investigar o perfil epidemiológico de intoxicações exógenas no município de Ceres-GO. Método: Trata-se de um estudo retrospectivo, de abordagem quantitativa de análise documental, pela coleta de dados de intoxicação a ser realizada no SINAN Net, entre os anos de 2008 e 2017. o processamento dos dados e a criação dos gráficos foram feitos no Microsoft Excel para demonstração dos valores em porcentagem das variáveis selecionadas. Resultados: Foram encontrados 537 casos com pico de notificações de 2011 a 2013, 35,8% dos casos ocorreram com morados de Ceres. O sexo feminino foi 16% mais acometido por intoxicações que o sexo masculino, e a faixa etária com maior número de casos compreendeu a idade de 15 a 49 anos. A circunstância de intoxicação com maior expressividade foi na tentativa de suicídio (54%) e o agente tóxico com maior número de ocorrências foi medicamentos com 47% do total. Na análise da escolaridade o campo mais preenchido no formulário foi o “Ignorados/brancos” totalizando 44,32% das ocorrências registradas no período estudado. Conclusão: Se faz necessário a elaboração de políticas públicas na prevenção de suicídios e promoção do uso racional de medicamentos. E uma campanha de conscientização de preenchimento do formulário de notificação voltada pra o profissional de saúde responsável.
EXPERIÊNCIA DE ATENDIMENTO PSICOLÓGICO ON-LINE COM PACIENTES DIAGNOSTICADOS COM HTLV NA BAHIA: UMA ANÁLISE QUALITATIVA A PARTIR DOS RELATÓRIOS DE ATENDIMENTO DURANTE A PANDEMIA DE COVID-19
Authors: Silva Ricardo Marinho da
Published: June 2022

O presente artigo tem como objetivo refletir a experiência de atendimento psicológico on-line com pacientes diagnosticados com HTLV no ambulatório público no estado da Bahia. As principais demandas identificadas nos relatórios dos atendimentos foram angústias, medos, ansiedade frente ao adoecimento causado pelo HTLV e fatores somados pelo isolamento social ocasionado pela pandemia da SARS-COV-2 (Covid-19). A metodologia de investigação neste estudo é qualitativa, de natureza não probabilística. O objeto de análise será os registos de evoluções dos atendimentos realizados, no período de novembro de 2020 até fevereiro de 2021, utilizando para metodologias de tratamento de dados o software Nvivo-12. Espera-se a partir do relato de experiência tecer reflexões que proponham novas configurações de saber e, consequentemente, de produzir novos conhecimentos.
Investigation of stochastic-threshold incision models across a climatic and morphological gradient
Authors: Desormeaux Clément , Godard Vincent , Lague Dimitri , Duclaux Guillaume , Fleury Jules , Benedetti Lucilla , Bellier Olivier ,   the ASTER Team
Published: June 2022

Abstract. Long-term landscape evolution is controlled by tectonic and climatic forcing acting through surface processes. Rivers are the main drivers of continental denudation because they set the base level of most hillslopes.
The mechanisms of fluvial incision are thus a key focus in geomorphological research and require accurate representation and models. River incision is often modeled with a stream power model (SPM) based on the along-stream evolution of drainage area and channel elevation gradient but can also incorporate more complex processes such as threshold effects and statistical discharge distributions, which are fundamental features of river dynamics. Despite their importance in quantitative geomorphology, such model formulations have been confronted with field data only in a limited number of cases. Here we investigate the behavior of stochastic-threshold incision models across the southeastern margin of the French Massif Central, which is characterized by significant relief and the regular occurrence of high-discharge events. Our study is based on a new dataset combining measurements of discharge variability from gauging stations, denudation rates from 34 basins from 10Be cosmogenic radionuclide (CRN) concentration measurements in river sediments, morphometric analysis of river long profiles, and field observations. This new dataset is used for a systematic investigation of various formulations of the SPM and to discuss the importance of incision thresholds. Denudation rates across the SE margin of the Massif Central are in the 20–120 mm kyr−1 (equivalent to mm/ka in the figures) range, and they positively correlate with slope and precipitation. However, the relationship with the steepness index is complex and supports the importance of taking into account spatial variations in parameters (D50, discharge variability k, runoff) controlling the SPM. Overall, the range of denudation rate across the margin can mainly be explained using a simple version of the SPM accounting for spatially heterogeneous runoff. More complex formulations including stochastic discharge and incision thresholds yield poorer performances unless the spatial variations in bedload characteristics controlling incision thresholds are taken into account. Our results highlight the importance of the hypotheses used for such a threshold in SPM application to field studies and notably the impact of actual constraints on bedload size.
sandbox – creating and analysing synthetic sediment sections with R
Authors: Dietze Michael , Kreutzer Sebastian , Fuchs Margret C. , Meszner Sascha
Published: June 2022

Abstract. Past environmental information is typically inferred from proxy data contained in accretionary sediments. The validity of proxy data and analysis workflows are usually assumed implicitly, with systematic tests and uncertainty estimates restricted to modern analogue studies or reduced-complexity case studies. However, a more generic and consistent approach to exploring the validity and variability of proxy functions would be to translate a sediment section into a model scenario: a “virtual twin”. Here, we introduce a conceptual framework and numerical tool set that allows the definition and analysis of synthetic sediment sections. The R package sandbox describes arbitrary stratigraphically consistent deposits by depth-dependent rules and grain-specific parameters, allowing full scalability and flexibility. Virtual samples can be taken, resulting in discrete grain mixtures with defined parameters. These samples can be virtually prepared and analysed, for example to test hypotheses. We illustrate the concept of sandbox, explain how a sediment section can be mapped into the model and explore geochronological research questions related to the effects of sample geometry and grain-size-specific age inheritance. We summarise further application scenarios of the model framework, relevant for but not restricted to the broader geochronological community.
DEFINING A METHODOLOGY FOR INTEGRATING SEMANTIC, GEOSPATIAL, AND TEMPORAL TECHNIQUES FOR CONFLICT ANALYSIS
Authors: Obukhov T. , Brovelli M. A.
Published: June 2022

Abstract. Globally, the absolute number of war deaths has been declining since 1946. And yet, conflict and violence are currently on the rise, with many conflicts today waged between non-state actors such as political militias, criminal, and international terrorist groups. Unresolved regional tensions, a breakdown in the rule of law, absent or co-opted state institutions, illicit economic gain, and the scarcity of resources exacerbated by climate change, have become dominant drivers of conflict (UN. A new era of conflicts, 2022).In the ear of modern technology, data science, machine learning, and AI, the available shall be used to analyze, understand and possibly predict the possibility of conflicts outbreaks in various parts of the world. Moreover, it should provide tools for political scientists to a deeper understanding of political processes and enhance their decision-making processes.This paper focuses on applying data science techniques to process and analyze data in three various data analysis domains: Semantic, Geospatial, and Temporal Analysis. It provides the possible sources of the conflict and other datasets used for the analytics mentioned above. The data is used for research and experimental purposes only. These analytical processes provide the mechanisms to discover the historical data and identify the potential causes of the conflicts.
COUPLING INFECTIOUS DISEASE MODEL AND GIS FOR LIVING MATERIAL SUPPLY ANALYSIS DURING COVID-19 OUTBREAK – TAKING SHENZHEN AS AN EXAMPLE
Authors: Xiao J. , Zhao T. , Gu Y. , Tu W.
Published: June 2022

Abstract. The COVID-19 epidemic has posed a grave threat to human life. The stay-at-home quarantine is an effective method of minimizing physical contact and the risk of COVID-19 transmission. However, the supply of living materials (such as meat, vegetables, grain, and oil) has become a great challenge as residents' activities have been restricted. In this paper, we present a spatial analysis framework for the supply of living materials during COVID-19 outbreak by coupling an infectious disease model with geographic information system (GIS). First, a virus spreading spatial simulation model is developed by combining cellular automata (CA) and Susceptible-Exposed-Infected-Recovered-Death (SEIRD) to estimate COVID-19's spreading under various scenarios. Second, the demand and supply of living materials in the impacted residents are calculated. Finally, the imbalance of the supply and demand of the living materials is assessed. We conduct experiments in Shenzhen. The experimental results show that localities with supply-demand mismatches are primarily concentrated in the southwest of Bao'an District, the southern of Longhua District, and Longgang District. Additionally, the spatial distribution of the mismatch level between supply and demand for living materials in Shenzhen exhibits a significant agglomeration effect, manifested as "low-low" and "high-high" agglomeration. The spatial agglomeration effect of material mismatch has increased with the spread of the epidemic. These results support the prevention and control of the COVID-19 spreading.
RESEARCH IMPLEMENTATION OF BEIDOU DATA FAST PROCESSING OF LARGE-SCALE GNSS REFERENCE STATION NETWORK
Authors: Zhang Q. , Zhang P. , Sun Z. , Wu J. , Chen H. , Wang X. , Qi L.
Published: June 2022

Abstract. GNSS reference station network is the core infrastructure for the establishment ,maintenance, renewal and service of national geodetic reference framework. At present ,nearly 3000 reference stations have been constructed in the national resources system ,of which about 2500 stations have the continuous observation capacity of BDS signal. In the face of daily massive observation data, the traditional sub-network and fully combined baselines can not meet the needs of rapid data processing for the maintenance of geodetic coordinate framework.In this paper, the high-precision and fast processing of BDS observation data of large-scale GNSS reference station network (≥ 300 stations) is realized through modular design, non difference model, parameter management to be estimated and flexible ambiguity processing. Through the whole network calculation of the 7-day BDS observation data of about 500 MGEX stations and national reference stations that selected all around the world from 211 to 217 days in 2017, the positioning results show that the average RMS values of the coordinates in the three directions of station N,E and U are ±2.3mm, ±2.8mm and ±4.6mm respectively. The orbit determination results show that the average accuracy of GPS satellite orbit in three directions is better than ±2cm; BDS MEO / IGSO track accuracy is better than ±20cm and GEO track accuracy is better than ±200cm.
URBAN SPRAWL AND WARMING – RESEARCH ON THE EVOLUTION OF THE URBAN SPRAWL OF CHINESE MUNICIPALITIES AND ITS RELATIONSHIP WITH CLIMATE WARMING IN THE PAST THREE DECADES
Authors: Zhang X. , Arellano Ramos B.
Published: June 2022

Abstract. China is experiencing the largest and fastest urbanization process in the world (Kneebone E., 2013). At the same time, its current rapid urbanization process is almost simultaneously accompanied by urban sprawl. Since the 1990s, the sprawl process of Chinese cities has begun to reach a climax (Shan Baoguo, 2018). As the largest developing country in the world, China is also one of the countries most vulnerable to the coercion of climate change. This research takes the four municipalities that are China's urban development orientation as typical representatives, and uses multiple indicators to measure urban sprawl and climate change in them. Finally, models are established to explore the impact of urban sprawl on climate warming. The results showed that all four cities experienced sprawl, but to varying degrees. Shanghai is very compact. Also, the climate warming is definitely, yet urban sprawl doesn't always contribute to its deterioration. The proportion of arable land had the least impact on global warming, but it was the only factor that could improve temperatures, albeit conditionally. Fragmented built-up land heating the climate is most critical.
A METHOD FOR RECOGNIZING RAINFALL-SENSITIVE URBAN ROADS BASED ON TRAJECTORY DATA
Authors: Zhu S. , Zhang H. , Jiang Y. , Yang X.
Published: June 2022

Abstract. Rainfall has a substantial impact on urban traffic. Due to climate change and urbanization, rain and associated flooding will become an increasing hazard to urban traffic. Therefore, it is significant to detect road traffic anomalies and analyze their evolution. This study focuses on rainfall-sensitive roads, which have significant changes in speed and an apparent trend of change during multiple rainfalls. Firstly, the trajectory data are converted into road traffic time-series data, and the box plot is applied to determine whether there are significant outliers in roads speed. Secondly, the Mann-Kendall Trend Test is used to judge whether there is a noticeable trend change in the rainfall process. The proposed method is applied to Nanjing City in China. Based on the trajectory data from June to August 2019, the percentage of urban roads with significant changes in rainfall events is between 30% and 50%, with 217 roads that reveal significant changes every time. A total of 24 rainfall-sensitive roads are extracted by the trend test. This study will provide additional assistance for crucial road monitoring of urban rainstorm hazards.
A DEEP LEARNING APPROACH FOR THE RECOGNITION OF URBAN GROUND PAVEMENTS IN HISTORICAL SITES
Authors: Treccani D. , Balado J. , Fernández A. , Adami A. , Díaz-Vilariño L.
Published: June 2022

Abstract. Urban management is a topic of great interest for local administrators, particularly because it is strongly connected to smart city issues and can have a great impact on making cities more sustainable. In particular, thinking about the management of the physical accessibility of cities, the possibility of automating data collection in urban areas is of great interest. Focusing then on historical centres and urban areas of cities and historical sites, it can be noted that their ground surfaces are generally characterised by the use of a multitude of different pavements. To strengthen the management of such urban areas, a comprehensive mapping of the different pavements can be very useful. In this paper, the survey of a historical city (Sabbioneta, in northern Italy) carried out with a Mobile Mapping System (MMS) was used as a starting point. The approach here presented exploit Deep Learning (DL) to classify the different pavings. Firstly, the points belonging to the ground surfaces of the point cloud were selected and the point cloud was rasterised. Then the raster images were used to perform a material classification using the Deep Learning approach, implementing U-Net coupled with ResNet 18. Five different classes of materials were identified, namely sampietrini, bricks, cobblestone, stone, asphalt. The average accuracy of the result is 94%.
STRUCTURAL LINE FEATURE SELECTION FOR IMPROVING INDOOR VISUAL SLAM
Authors: Xia R. , Jiang K. , Wang X. , Zhan Z.
Published: June 2022

Abstract. Nowadays, Visual SLAM has gained ample successes in various scenarios. For feature-based system, it is still limited when running in an indoor room, as the indoor scene is often with few and simple texture which result in less and unevenly distributed point features. To solve this limitation, line features which are quite rich in an indoor scene are extracted and used. However, not all features can geometrically contribute to pose estimation, specifically, line features that are consistent to the motion direction provide only weak geometric constraint for solving pose parameters. Therefore, this paper proposes a selection method for reasonable line features, in particular, based on the Manhattan World Assumption (MWA), structural line features are firstly extracted instead of normal line features. Then, the structural line features are selected according to the direction information of vanishing points and selected for a stronger geometric constraint on pose estimation. In general, the selected structural lines require that the intersection angle between the corresponding principal direction and the camera motion direction is higher than a threshold, which is extensively investigated in the experiments. The experimental results show that, compared to the original ORB-SLAM2, the localization accuracy after using the proposed method can be improved by around 15%-40% on various public datasets, and the real-time performance can be basically guaranteed even including the extra time spent on the selection procedure.
DEVELOPING A GEODATABASE FOR EFFICIENT UAV-BASED AUTOMATIC CONTAINER CRANE INSPECTION
Authors: Bajauri M. S. , Alamouri A. , Gerke M.
Published: June 2022

Abstract. Inspection of container cranes is an important task to maintain the all-day operation in harbours. In practice, manually carrying out the inspection process is not the best solution due to the complexity, time consumption, and cost. The manual inspection often is performed by specialists who capture images of areas of interest and then check and analyse these images visually. Once a critical area is spotted, industrial climbers are hired to check the part in-situ. The visual pre-inspection should be reliable and accurate, because the in-situ inspection is expensive, but to miss defected areas might lead to a failure of the crane. From this point of view, we came up with the main idea of the joint research project ABC-Inspekt which embodies an exploratory investigation in providing an automatic inspection of container cranes using the technology of Unmanned Aerial Vehicles (UAV). Images, which are captured systematically and regularly, are managed in a database to facilitate access. The access is done by an operator, but also by an image analysis approach which automatically identifies possible defects and stores them back into the database. In this paper, we introduce the database schema, the web frontend for data storage, access, and viewing, and show intermediate results for the data processing workflow.
SPATIOTEMPORAL GRAPH CONVOLUTIONAL NEURAL NETWORKS FOR METRO FLOW PREDICTION
Authors: Jin S. , Jing C. , Wang Y. , Lv X.
Published: June 2022

Abstract. Forecasting urban metro flow accurately plays an important role for station management and passenger safety. Owing to the limitations of non-linearity and complexity of traffic flow data, traditional methods cannot satisfy the requirements of effectively capturing spatiotemporal dependencies at the metro network level, which makes it difficult to demonstrate high performance. In this paper, a novel deep learning method is proposed based on Graph Neural Networks (GNN), named STGCN-Metro (SpatioTemporal Graph Convolutional Network based on Metro network), to forecast the short-term inflow and outflow volumes of metro passengers. The proposed model is composed of two spatiotemporal convolutional blocks, which is integrated with the Dilated Convolutional Neural Network (DCNN) and Cluster-Graph Convolutional Network (Cluster-GCN). The DCNN is employed with different dilation rates to capture temporal dependence in larger receptive field. In addition, compare with GCN, the Cluster-GCN is applied the graph clustering algorithms to reduce computational resources considering spatial heterogeneity. A real-world dataset collected in Shanghai metro stations is conducted for validation, and the results demonstrate that the proposed model achieves higher performance, outperforming some well-known baseline models.
TOPIC MODELING AND ASSOCIATION RULE MINING TO DISCOVER GEOSPATIAL SEMANTIC INFORMATION FROM UNSTRUCTURED DATA SOURCES
Authors: Katsadaki Ε. , Kokla M.
Published: June 2022

Abstract. As the amount of semi-structured and unstructured information sources expands at an exponential rate, there is a growing demand for semantic information elicitation of the immanent knowledge included in these sources. Semantic information elicitation processes such as semantic information extraction, linking, and annotation aim to make the knowledge explicit and unveil aspects latent in these sources to support knowledge discovery, semantic analysis, and visualization. The paper describes the implementation of Latent Dirichlet Allocation (LDA) topic modeling and association rule mining with FP-Growth for knowledge discovery. RapidMiner, an open-source data mining software is used for the objectives of this work.
THE VALUE OF DEEP LEARNING FOR LANDSCAPE REPRESENTATION COMPARISON BETWEEN SEGMENTATION IMAGES MAPS AND GIS
Authors: Bianconi F. , Filippucci M. , Ceccaroni S. , Seccaroni M.
Published: June 2022

Abstract. Landscape refers to the qualities of a place, the result of a structural, territorial and environmental component, and the attribution of meanings, which is certainly the fundamental issue of the interpretative process. Percepire etymologically derives from "per", which means "by means of, through", and "capere", which translates as "to take", "to collect" (information, sensory data), "to learn". Since images are derived from the territory, it is of first interest to propose a comparison between representations derived from automated processes on photographs and the synthetic data interpreting the territory inherent in the plans developed with GIS in order to obtain a more precise perceptual analysis. The emergence of new tools for the processing and reproduction of data offers new opportunities for the knowledge and representation of the landscape, in architectural and urban contexts, and the integrative support that these processes can bring to the representation of the qualities of a place have to be reinterpreted in a Spatial Information Dataset in order to make synthetic and intelligible information. Identifying specific themes by questioning these data through criteria and placing at the centre the capacity of the digital environment in its mathematisation to compare data, transforming them into information, in an automated process is aimed at the exploitation of Big Data and the full replicability of the procedure. In this way, it is possible to enter into the analysis of the quality of space, of that notion of landscape concieved as "that part of the territory perceived by the population that lives it".
EVALUATION OF SPATIAL FAIRNESS OF URBAN PUBLIC TRANSPORT SERVICE：A CASE STUDY OF WUHAN CITY
Authors: Zhang L. , Yang Y. , Cheng Q. , Luo M. , Zhang X. , Wang Y.
Published: June 2022

Abstract. Spatial equity of urban public transport service is an important index to evaluate the potential of sustainable development of urban transport. This paper, taking Wuhan as the study area, the use of public transport network data and population density of 1 km2 grid data, using Moran’s I reveals research area spatial correlation between different variables and the significance, in order to under different scales of whole and local area in Wuhan city public traffic service demand and supply of the current situation and problems of space fairness is analyzed. The research shows that there are significant differences in spatial fairness of public transport service in Wuhan, and the service configuration level of central urban areas is higher than that of non-central urban areas. According to the Moran’s I, Huangpi District was the worst administrative district in spatial fairness, and Dongxihu District was the best administrative district. The evaluation based on spatial fairness can help to realize the rapid optimization of public transport service system, improve the spatial inequity of service supply and demand, and provide scientific basis for the optimization and upgrading of public transport system.
RESEARCH ON TOPIC SELECTION OF NATIONAL MAIN FUNCTIONAL AREA PLANNING ATLAS
Authors: Zhao T. , Zhao Y. , Liu W. , Zhu X. , Li R. , Wang X. , Zhai X. , Zhang Y. , Peng Y. , Ma W.
Published: June 2022

Abstract. In the face of the problems that have emerged along with the rapid industrialization and urbanization in China in recent years, the country proposes to compile the national main functional area plan, divides the national land space into four types of main functional areas: optimized development, key development, restricted development and prohibited development, and carries out the compilation of the national main functional area plan at two levels: national and provincial. The spatial evaluation indexes of the country and the results of the main functional area planning are expressed graphically in the form of thematic maps to make them visual, intuitive and easier to understand. In this paper, we study the topic selection of the National Atlas of Main Functional Area Planning, and mainly introduce the research results of the atlas in topic selection research, content structure design and layout design based on the comprehensive analysis of national and provincial information and following the principles of topic selection.
THE IMPACT OF THE METRO SYSTEM ON THE SPREAD OF COVID-19
Authors: Chiu C.-S. , Kuo P.-F.
Published: June 2022

Abstract. At the beginning of the COVID-19 pandemic, most scholars focused on how international transportation (such as airlines) spread the virus to different countries. At this point, scholars have begun to pay more attentions on how COVID-19 locally transmission via ground transportation systems. Because many people use these ground services to commute in urban areas, a high passenger volume may lead to a domestic large outbreak. Without detailed disease spreading path, healthcare professionals are still not sure where and how to apply these anti-epidemic measures. Therefore, this study chose the Taipei metro system as our study area to investigate the relationship between metro station passenger volume and COVID-19 transmission. By using the electric metro ticket data, we know the movement of metro passengers in Taipei, and this OD movement dataset was used to estimate the spreading path of the COVID-19. In order to simulate possible Covid-19 spreading cases in the real world, two different methods (the agent-based model (a microlevel simulation) and the effective distance method (a macro-level estimator)) were applied. Then, we compared the COVID-19 arrival order for each station. In our result, the average infectious order of stations of agent based model and shortest path effective distance is similar. Among all stations, Taipei Main Station is the first infectious station, and the top 15 infectious stations are similar according to result of the two method. Our result may help the authority choose proper methods to simulate the epidemic local transmission and then allocate resources effectively in the future.
RESEARCH ON KEY POINTS OF QUALITY INSPECTION OF AERIAL PHOTOGRAMMETRY RESULTS AND QUALITY IMPROVEMENT MEASURES
Authors: Tian Z. , Zhou J.
Published: June 2022

Abstract. In recent years, the quality control of surveying, mapping and geographic information engineering has attracted much attention because of its importance. On the basis of the quality control of the first phase of the 927 project and the western surveying and mapping project, in response to the supervision needs of major national surveying, mapping and geographic information projects, this paper is based on the needs of surveying and mapping supervision, characteristics, development status, this paper analyzes the limitations of traditional surveying and mapping supervision in national major surveying and mapping geographic information projects, and proposes an improved surveying and mapping supervision method, namely the concept of surveying and mapping technical supervision. The research determines that the content of technical supervision is divided into two parts: quality management control and stage achievement quality control, and analyzes its application characteristics. Through the application and effect analysis of technical supervision in actual projects, the advantages and feasibility of technical supervision are verified, which can effectively overcome the limitations of traditional surveying and mapping supervision. The research content of this paper can guide the development of the corresponding quality control work, and provide a reference for the quality control of major national projects.
POTENTIAL EXPLORATION OF SEGMENTATION DRIVEN STEREO MATCHING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY
Authors: Dippold E. J. , Tsai F.
Published: June 2022

Abstract. The automatic establishment of image relationship between oblique images can be a challenging task. Feature based image matching (FBM) establishes this relationship by detecting and matching corresponding feature points. A robust matching is beneficial for many tasks including reconstruction, mapping and localization. The need of automatic processing of remotely sensed data, like very highresolution (VHR) satellite imagery, increased over the years. Furthermore, green vegetation and water are changing the physical properties with respect to the amount of light emitted, season and pollution. In addition, with human interaction, the change in appearance increases. The Normalized Differential Vegetation Index (NDVI) is a well-known and studied index in order to detect healthy green vegetation. The Normalized Differential Water Index (NDWI) can help identify water areas in an image. They can be used to preliminarily segment images into different categories for later process. This study proposes a novel framework to explore the potential of feature based stereo matching for very high-resolution satellite imagery with segmentation. The proposed framework will perform first, image segmentation with NDVI and NDWI on stereo VHR satellite image pairs. Then, classification by threshold to detect healthy green vegetation, water and image frame. Features within these three classes are masked out and kept from being processed during the feature matching step. The idea is that, features in these classes are easy to cause miss matching because they are more prone to be affected by different image and environmental conditions in the stereo image pairs. As a result, the amount of miss matches can be reduced on average by 7.5%. Furthermore, the segmentation decreases the total amount of detected features by 13.71%, so that the processing time decreases. This study has successfully proven that segmentation can lead to improved stereo matching. In future, segmentation driven can be utilized by AI matching processes as well as traditionally photogrammetric or computer vision tasks.
Sanja Milivojevic (2021) Crime and Punishment in the Future Internet: Digital Frontier Technologies and Criminology in the Twenty-First Century. Abingdon, Oxfordshire and New York: Routledge
Authors: Weber Leanne
Published: June 2022

Leanne Weber reviews Crime and Punishment in the Future Internet: Digital Frontier Technologies and Criminology in the Twenty-First Century
Leanne Weber, Jarrett Blaustein, Kathryn Benier, Rebecca Wickes and Diana Johns (2021) Place, Race and Politics: The Anatomy of a Law and Order Crisis. UK: Emerald Publishing
Authors: Ellis Justin R
Published: June 2022

Justin R. Ellis reviews Place, race and politics: The anatomy of a law and order crisis