bluuebunny/crossref_metadata_2025 huggingface dataset:
Teacher Educators’ Epistemological Beliefs and their Implications for Teacher Education
Authors:   University of Malakand, Khan Itbar , Mahmood Azhar
Published: February 2021

Research has consistently shown that teachers’ epistemological beliefs have a significant impact on their teaching and teacher effectiveness in the teaching- learning process. This study investigated epistemological beliefs (EBs) of teacher educators in higher education institutions and teacher education institutes in Khyber Pakhtunkhwa (KP). The study aimed at identifying teacher-centered and learners’ centered EBs, examine the relationship of EBs and gender, find out the relationship of teachers’ qualification with the EBs of teacher education, and explore differences between the EBs of teacher educators of public universities and RITEs. Of the 212 teacher educators of the study population, the data were collected through stratified random sampling from 145 respondents. Epistemological beliefs questionnaire (EBQ) and a scale for demographics were used for gathering data from the research participants. Percentages, Mean, One way ANOVA and Pearson r was used for data analysis. Findings of the study show that a majority of the teacher educators believed that the structure of knowledge is simple, half of the teacher educators believed that knowledge is certain. Similarly, a majority of the teachers did not believe in authority as a source of knowledge and considered that the ability to learn is not innate. A majority of the respondents did not agree that learning is a quick process. There was no significant difference in the EBs of male and female teacher educators; there was no significant difference in the EBs of teachers from universities and RITES, except in the dimension of the stability of knowledge, wherein educators from RITEs have unsophisticated beliefs and there is no significant effect of experience on the epistemological beliefs of teacher educators.
Styles of Humor and Interpersonal Relationships in University Students
Authors:   University of the Punjab, Lahore, Idrees Ayesha , Batool Saira
Published: February 2021

The study aimed to investigate relationship between humor styles and interpersonal relationships in university students. It was hypothesized that: there would be a relationship between humor styles and interpersonal relationships in university students; humor styles are likely to predict interpersonal relationships in university students; there would be gender differences in humor styles and interpersonal relationships. The sample consisted of 196 students from two Universities of Lahore. Humor Style Questionnaire (Martin, Puhlik-Doris, Larsen, Gray & Weir, 2003) and Interpersonal Relationship Questionnaire (Callaghan, 2006) were used for assessment. Data were analyzed by using Pearson product moment correlation, hierarchical regression analysis and independent sample t-test. Results revealed significant relationship between humor styles and interpersonal relationships. Affiliative humor style predicted interpersonal relationships negatively whereas self-defeating humor style predicted interpersonal relationships positively. Men used more aggressive humor styles compared to women but they did not differ on other humor styles. Findings highlight significance of humor in the quality of interpersonal relationships.
Effectiveness of Peer Tutoring on The Academic Achievements of Tutors and Tutees With Respect to Knowledge, Comprehension and Application Levels of Cognitive Domain
Authors:   National Special Education Complex Mardan, Ullah Irfan , Kaleem Muhammad
Published: February 2021

Peer tutoring provides an opportunity to students of diverse abilities to work on academic tasks in pairs, in a democratic, cooperative and friendly approach. In this context, the study was an attempt to analyse how peer tutoring played the said role in enhancing the academic achievements of tutors and tutees at secondary level in reference to the key levels (knowledge, comprehension and application) of the cognitive domain. The study explored data from 40 purposefully selected participants of ANSI school Mardan, by applying the Pre-test Post-test Equivalent Group Design and conducting achievement tests before and after the treatments in order to accomplish the target objectives. The analysis of the data through inferential statistics (t-test) confirmed that though the tutors of the experimental group achieved better score at knowledge and application levels of the cognitive domain; however, they were not better in the comprehension level on post-test in compare to the high achievers of the control group. In the same way, the performance of the tutees of the group under investigation was significantly better with regards to academic ability, knowledge and comprehension at cognitive domain; however, at the application level there was no significant difference as compare to their correspondent low achievers of the controlled group. In the light of the findings it was concluded that the academic performance of the tutors as well as the tutees was significantly affected by peer tutoring.
Role of Sekola Islam and Pesantrens in Nation Building of Indonesia: An Analysis of the Perceptions of Alumni
Authors:   International Islamic University, Islamabad, Iqbal Muhammad Zafar , Akram Humaira
Published: February 2021

Republic of Indonesia is the largest archipelagic and Muslim majority country in the world comprising of various small and big islands. Almost 300 languages are spoken in the country, but Indonesians believe in ‘Benika Tungal Ika’ mean diversity is strength. Indonesian Islamic education system covets overall development of students’ personality including the religious, cognitive, physical, emotional, physical and scientific aspects. This paper aims to explore the perceptions of alumni about contribution of Sekola Islam, Pesantren and Pandok in nation building of Indonesia. Paper is based on qualitative analysis of data collected through semi structured interviews with alumni of Sekola Islam, Pesantrens and Pandok. The results showed that Pesantrens, Sekola Islam and Pandok network of Islamic Education Institutions is root of education system and has played a significant role in nation building of Indonesia. Islamic Education Institutions have contributed for the religious, societal, economic and technological development of Indonesia and produced renowned leaders in the field of politics, religion and education.
Lietuvių konferencijos rengimas: nuo idėjos iki šimtmečio suvažiavimo
Authors: Bukaitė Vilma
Published: February 2021

Vilniaus lietuvių konferencija buvo vienintelis Pirmojo pasaulinio karo metais Lietuvos teritorijoje surengtas viešas politinis suvažiavimas. Rugpjūčio mėnesį posėdžiavusio Organizacinio komiteto darbus užbaigė iš jo narių vilniečių sudarytas pildomasis biuras. Posėdžių vieta, dalyvių sutikimu, apgyvendinimu ir maitinimu, saugumu rūpinosi Tvarkomoji komisija. Dauguma darbų patikėta Lietuvių draugijos nukentėjusiems dėl karo šelpti centro komiteto ir Vilniaus skyriaus nariams. Jiems talkino ir kiti inteligentai, šio miesto įmonės, amatininkai ir darbininkai. Straipsnyje pasakojama Lietuvių konferencijos organizacinė istorija, aptariama jos eiga, atmosfera, rezultatų sklaida.
Augustino Voldemaro veikla užsienio politikos srityje Steigiamojo Seimo laikotarpiu
Authors: Veilentienė Audronė
Published: February 2021

Straipsnyje analizuojama prof. Augustino Voldemaro veikla ir pozicija užsienio politikos srityje Steigiamojo Seimo laikotarpiu. Kol buvo suformuotas Kazio Griniaus Ministrų kabinetas, prof. A. Voldemaras laikinai ėjo užsienio reikalų ministro pareigas, vėliau buvo Lietuvos atstovas Tautų Sąjungoje, o atsistatydinęs iš šių pareigų griežtai kritikavo krikščionių demokratų vykdomą užsienio politiką. Prof. A. Voldemaras daug prisidėjo formuojant Lietuvos užsienio politiką ir darė nemažą įtaką, net būdamas opozicijoje, tačiau ši jo veikla iki šiol yra mažai tyrinėta.
Lietuvos Respublikos Seimo aktualijų pateikimas Lietuvos rusakalbėje periodinėje spaudoje
Authors: Denisenko Viktor
Published: February 2021

Straipsnyje nagrinėjamas klausimas, kaip rusakalbiams skirtoje Lietuvos periodinėje spaudoje pateikiamos Lietuvos Respublikos Seimo darbo aktualijos. Analizuojami tyrimo, apimančio 2018 m. rugsėjo– gruodžio mėnesius, duomenys. Tyrimo objektas – trys pagrindiniai rusakalbiams skirti savaitraščiai, leidžiami Lietuvoje: „Litovskij kurjer“, „Obzor“ ir „Ekspress-nedelia“.

Atliekant tyrimą nustatyta, kad Seimo aktualijos šiuose leidiniuose iš esmės pateikiamos remiantis antriniais šaltiniais, dažniausiai – naujienų agentūrų BNS ir Eltos pranešimais, kitų lietuviškų medijų publikacijomis. Kartais Lietuvos parlamento darbo aktualijos nušviečiamos ir remiantis Rusijos žiniasklaidos priemonių publikacijomis, tačiau tokie atvejai nėra dažni ir nedaro esminės įtakos bendram informacijos paveikslui.

Kita vertus, nustatyta ir tai, kad publikacijose nušviečiami tik mažos Seimo narių dalies (14–23 proc. visų parlamento narių) darbai, iniciatyvos ir komentarai. Kai kuriuose tekstuose apie Seimo darbą rašoma apibendrintai: „Seimas svarstė...“, „Seimas nutarė...“ ir pan.
Lietuvos Tarybos atstovavimas Vokietijoje. Antras etapas (1918 m. kovo 31 d. – lapkričio 15 d.)
Authors: Grigaravičiūtė Sandra
Published: February 2021

Straipsnyje analizuojamas Lietuvos Tarybos Vokietijoje atstovavimo antras etapas (1918 m. kovo 31 d. – lapkričio 15 d.), pateikiama jo charakteristika. Daugiausia dėmesio skiriama Lietuvos Tarybos atstovavimo Vokietijoje pokyčių kontekstui bei Lietuvos Tarybos „notifikacijos delegacijos“ likimui atskleisti, Lietuvių biuro Berlyne įsteigimo ir delegatų pasirinkimo motyvų, subordinacijos, finansavimo analizei, Lietuvių biuro Berlyne transformacijai į Lietuvos Valstybės Tarybos atstovybę Berlyne.
Food access initiatives: An integral piece of the Revere, Massachusetts, COVID-19 response
Authors: Babbin Molly , Zack Rachel , Granick Jean , Betts Kathleen
Published: February 2021

Cambridge Health Alliance (CHA) is a community health care system that serves the region north of Boston, including the city of Revere, Massachu­setts. In an effort to confront the root causes of poor health, CHA has engaged in an initiative to address the social determinants of health, including food insecurity, homelessness, and unemployment. In 2017, we learned that 51% of our patients in Revere screened positive for food insecurity. In response, we committed to increasing our patients’ access to healthy foods.
DISTRIBUIÇÃO ESPACIAL DA COVID-19 EM EUNÁPOLIS-BA
Authors: Oliveira Jeorge Martins , Lisboa Nereide Santos , Lopes Elfany Reis de Nascimento
Published: February 2021

A pandemia da COVID-19, ocasionada pelo novo vírus da família coronavírus (SARS-CoV-2) já pode ser considerado o maior desafio da saúde pública do século XXI. O presente artigo teve como objetivo avaliar a distribuição espacial dos casos e óbitos confirmados de COVID-19 de Eunápolis, visando compreender a disseminação do vírus em uma cidade margeada por uma rodovia federal e via transitória de acesso para diversas cidades do Sul da Bahia e Minas Gerais. Foi realizado pesquisa descritiva e de análise exploratória dos casos de COVID-19 entre os meses de março a julho. Calcularam-se as taxas de incidência, mortalidade e letalidade. Os dados foram extraídos de bases governamentais epidemiológicas municipais e estaduais e quantificadas as taxas de casos confirmados e óbitos, além da espacialização utilizando o sistema de informações geográficas QGIS. Foram registrados 2.068 casos e 34 óbitos, sendo 53,77 % dos casos em sexo feminino e 70,59 % dos casos no sexo masculino. Indivíduos na faixa de 30 a 49 anos foram mais prevalentes entre os casos, enquanto indivíduos de ≥80 anos prevaleceram com a maior frequência entre os óbitos. A maior incidência foi observada no mês de julho (10,09 por 1 mil habitantes) e a maior letalidade, no mês de junho (2,53 %). Observou-se maior taxa de infecção e morte pela doença em bairros como Pequi, Dinah Borges e Centro. Agravos em indivíduos masculinos são prevalentes mesmo com taxas elevadas em mulheres, induzindo a necessidade de investigação de comorbidades, fisiologia do sistema respiratório e imunológico da população.
EDUCAÇÃO AMBIENTAL E A QUALIDADE DE VIDA NA ESCOLA
Authors: Oliveira Israel Montesuma , Feretti Vandra , Joucoski Emerson
Published: February 2021

O objetivo desse estudo é apresentar o trabalho de promoção da saúde desenvolvido por um Centro Municipal de Educação Infantil (CMEI) que incorpora princípios da educação ambiental e da qualidade de vida em sua atitude pedagógica, investigando as ações mediadas entre educadores da rede municipal de Matinhos e acadêmicos da Universidade Federal do Paraná Setor Litoral do curso de Tecnólogo em Agroecologia e Licenciatura em Educação Física. A pesquisa foi realizada a partir dos relatos de experiência desenvolvidos pela coordenadora do CMEI e por um professor de educação física. Esse estudo descritivo foi realizado no CMEI Quatro de Março no município de Matinhos – PR no período letivo de 2019. O CMEI escola pesquisada foi escolhida por receber e propiciar que acadêmicos de diferentes cursos aplicassem seus Projetos de Aprendizagem (PA), voltados à transformação do CMEI em um lugar saudável propício ao bem estar de todos. O CMEI possui 240 alunos matriculados, sendo 120 no período matutino e 120 no período vespertino, os alunos têm de dois a quatro anos de idade, os materiais utilizados foram financiados pela direção da instituição por meio do Programa Dinheiro Direto na Escola (PDDE), com a finalidade prestar assistência financeira às escolas. Como resultado das intervenções nos espaços físicos do CMEI foi observado uma mudança de comportamento das crianças durante as aulas reduzindo a agitação e aumentando a atenção e concentração nas atividades propostas.
REDE SOCIAL SOBRE A COVID-19 NA PROMOÇÃO DA SAÚDE
Authors: Feretti Vandra , Rodrigues Angela Jeane Salles , Alvim Roberta Geovanna Cavalheiro , Brock Fernando Luiz Ramos , Kashiwagi Helena Midori , Bueno Roberto Eduardo
Published: February 2021

O presente estudo objetivou verificar o uso da rede social Facebook pelas Secretarias Municipais de Saúde de três municípios do litoral do Paraná para a promoção da saúde e prevenção do contágio da COVID- 19. E, também quantificar a divulgação dos dados passados pela Secretaria de Estado da Saúde do Paraná por meio dos números relativos a COVID-19 nos municípios de Paranaguá, Matinhos e Guaraqueçaba. Para o estudo, verificou-se as publicações de 11 de março a 11 de agosto de 2020 utilizando o método de análise de conteúdo, iniciando com a compilação de dados, passando pela exploração e finalizando-se com a discussão dos resultados. No período de estudo, foram localizadas 14.509 publicações que fizeram referência a COVID-19, veiculando informações através de boletins epidemiológicos, orientações sobre prevenção, ações de fiscalização e barreiras sanitárias, pronunciamentos da prefeitura e decretos municipais. Verificou-se que dois municípios, dentre os três participantes, fizeram uso dessa rede social como ferramenta de disseminação de informações referentes à COVID-19 para a educação, comunicação e promoção da saúde.
ATERRO SANITÁRIO: RELEVÂNCIA E TÉCNICAS DE IMPERMEABILIZAÇÃO DO SOLO
Authors: Air Santiago Junior Alex , Fuck Von Der Osten Simone Beatriz , Von Der Osten Junior Eduardo Henrique , Ferreira Miyashiro Camila , Dos Reis Duarte Erich , Sauer Aline Vanessa
Published: February 2021

O objetivo deste artigo é mostrar a importância da impermeabilização adequada em aterros sanitários e as principais técnicas de impermeabilidade para evitar a contaminação do solo e do lençol freático. A metodologia adotada baseou-se em pesquisa bibliográfica. O aterro sanitário é um processo utilizado para disposição final de rejeitos e resíduos sólidos no solo, particularmente lixo domiciliar. A impermeabilização do solo tem a função de proteger e impedir a infiltração do chorume, líquido originado dos processos biológicos, químicos e físicos da decomposição de resíduos orgânicos, para o subsolo e aquíferos existentes. Entre todos os aspectos que precisam ser conferidos em um aterro sanitário, desde o preparo da área e construção até sua operação e monitoramento, ressalta-se o sistema de impermeabilização de base. Em locais onde o solo não apresenta as características necessárias ao emprego de barreira impermeabilizante, é utilizado o acréscimo de bentonita ao solo. Em conjunto com a aplicação da camada impermeabilização e fundação do aterro, são introduzidos sistemas para drenar os líquidos. Diante disso, o presente trabalho discutiu em seus resultados as técnicas de permeabilidade como Liners utilizados em aterros sanitários, Lodo aplicado como camada de cobertura, Resíduos de construção e demolição (RCD) aplicados como camada de cobertura, Barreira capilar aplicada como camada de cobertura, Solo compactado aplicado como camada de cobertura e impermeabilização de base, Geossintéticos aplicados como camada de impermeabilização de base, Solo cimento aplicado como impermeabilização de base e Bentonita aplicada como impermeabilização de base.
APRENDIZAGEM BASEADA EM PROBLEMAS SOCIOAMBIENTAIS DE PIRACICABA
Authors: Massabni Vânia G. , Ferraz Katia Maria Paschoaletto Micchi de Barros , Bovo Alex Augusto Abreu , Percequillo Alexandre Reis , Mendes Flávio Bertin Gandara , Duarte Marina Melo
Published: February 2021

A interação entre os municípios e universidades pode fornecer poderosas ferramentas na resolução de problemas socioambientais locais. Apresentamos aqui os processos de construção e os resultados de uma dessas formas de interação. A disciplina Ecologia Aplicada é destinada aos ingressantes do curso de Ciências Biológicas da Escola Superior de Agricultura “Luiz de Queiroz” (ESALQ/USP), em Piracicaba, São Paulo. Nela, grupos de alunos, com a ajuda de um tutor e sempre monitorados pelos docentes responsáveis, trabalham na resolução de problemas socioambientais, contando com a Aprendizagem Baseada em Problemas. No primeiro semestre de 2020, excepcionalmente, em contexto da pandemia da COVID-19, a disciplina foi oferecida a distância e sem as excursões nas quais os problemas socioambientais a serem trabalhados seriam identificados. Para sua realização, o ambiente virtual da universidade foi fundamental em todas as etapas. A cada aluno foi pedido que identificasse questões ambientais no município de Piracicaba. Os docentes formaram grupos de alunos por afinidade de assunto. Cada grupo escolheu um problema ambiental a ser trabalhado durante o semestre. Após trabalharem com os tutores ao longo do semestre, os alunos propuseram resoluções a seus problemas ambientais. Os trabalhos foram considerados pelos docentes de alta qualidade, tendo muitos grupos chegado a resultados que podem futuramente se transformar em políticas públicas. Alguns grupos produziram material informativo à sociedade, outros criaram perfis em redes sociais para comunicação. A Aprendizagem Baseada em Problemas se mostrou válida para promover reflexões e buscar soluções para problemas do município.
“Heading for the big time”: South Africans and the North American Soccer League, 1968–84
Authors: Bolsmann Chris
Published: February 2021

This article considers the migration of South African soccer players to the North American Soccer League (NASL) between 1968 and 1984. The NASL provided South African players the opportunity to pit their skills against players from around the world. Importantly, South Africans of all racial groups could play with and against each other in North America as opposed to the strictly segregated clubs, leagues, associations, and stadiums they emerged from. Players who returned to South Africa established their own clubs modeled on their NASL experiences, challenged the soccer status quo, and undermined the logic of apartheid. A small but significant handful of South Africans played in North America between 1968 and 1984, men who not only left an indelible mark on soccer on the continent but in South Africa too.
The impact of tillage systems and crop residues on microbial mass and soil structure stability indices
Authors: Alinejadian-Bidabadi Afsaneh , Maleki Abbas , Roshaniyan Mahtab
Published: February 2021

Aim of study: This research investigated the effects of management practices, including plant residues and tillage practices, on soil stability indices, microbial biomass carbon, and the number of bacteria.Area of study: Northern Khorasan Province, Iran.Material and methods: This study explored the effects of the three year-old tillage systems of conventional tillage (CT), minimum tillage (MT), and no-tillage (NT) at three levels 0, 40, and 70% of plant residues on soil physical and microbiological properties for a rotation of three years (wheat, canola, and wheat). Variables measured in this study included the whole soil stability index, the normalized stability index, the percentage of aggregate destruction (PAD), the number of bacteria, and microbial biomass carbon.Main results: Management practices could affect variables, such as soil structure stability as well as the number of bacteria. The results also showed that soils of higher stability were more resistant to soil degradation. In addition, by reducing tillage and adding plant residues, the PAD index decreased significantly. NT and MT practices improved soil structure stability indices and significantly increased the number of bacteria as well as microbial biomass carbon in contrast to CT, what could be attributed to the increased soil organic matter.Research highlights: Reduced tillage practices showed the potential for enhancing soil physical quality only through improving aggregate stability. Therefore, NT with 70% residue retention was found to be suitable to improve soil sustainability indices and increased soil microbial population.
Rain Gutter Detection in Aerial Images for Aedes aegypti Mosquito Prevention
Authors: Rossi Lucas , Backes André , Souza Jefferson
Published: February 2021

The detection of Aedes aegypti mosquito is essential in the prevention process of serious diseases such as dengue, yellow fever, chikungunya, and Zika virus. Common approaches consist of surveillance agents who need to enter residences to find and eliminate these outbreaks, but often they are unable to do this work due to the absence or resistance of the resident. This paper proposes an automatic system that uses aerial images obtained through a camera coupled from an Unmanned Aerial Vehicle (UAV) to identify rain gutters from a shed that may be mosquitoes’ foci. We use Digital Image Processing (DIP) techniques to differentiate the objects that may or may not be those foci of the mosquito-breeding. The experimental results show that the system is capable of automatically detecting the appropriately mosquito-breeding location.
Impacts of Color Space Transformations on Dysplastic Nuclei Segmentation Using CNN
Authors: Dos Santos Dalí , Silva Adriano , De Faria Paulo , Travençolo Bruno , Do Nascimento Marcelo
Published: February 2021

Oral epithelial dysplasia is a common precancerous lesion type that can be graded as mild, moderate and severe. Although not all oral epithelial dysplasia become cancer over time, this premalignant condition has a significant rate of progressing to cancer and the early treatment has been shown to be considerably more successful. The diagnosis and distinctions between mild, moderate, and severe grades are made by pathologists through a complex and time-consuming process where some cytological features, including nuclear shape, are analysed. The use of computer-aided diagnosis can be applied as a tool to aid and enhance the pathologist decisions. Recently, deep learning based methods are earning more and more attention and have been successfully applied to nuclei segmentation problems in several scenarios. In this paper, we evaluated the impact of different color spaces transformations for automated nuclei segmentation on histological images of oral dysplastic tissues using fully convolutional neural networks (CNN). The CNN were trained using different color spaces from a dataset of tongue images from mice diagnosed with oral epithelial dysplasia. The CIE L*a*b* color space transformation achieved the best averaged accuracy over all analyzed color space configurations (88.2%). The results show that the chrominance information, or the color values, does not play the most significant role for nuclei segmentation purpose on a mice tongue histopathological images dataset.
Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images
Authors: Rodrigues Leonardo , Rodrigues Larissa , Da Silva Danilo , Mari João Fernando
Published: February 2021

Coronavirus Disease 2019 (COVID-19) pandemic rapidly spread globally, impacting the lives of billions of people. The effective screening of infected patients is a critical step to struggle with COVID-19, and treating the patients avoiding this quickly disease spread. The need for automated and scalable methods has increased due to the unavailability of accurate automated toolkits. Recent researches using chest X-ray images suggest they include relevant information about the COVID-19 virus. Hence, applying machine learning techniques combined with radiological imaging promises to identify this disease accurately. It is straightforward to collect these images once it is spreadly shared and analyzed in the world. This paper presents a method for automatic COVID-19 detection using chest Xray images through four convolutional neural networks, namely: AlexNet, VGG-11, SqueezeNet, and DenseNet-121. This method had been providing accurate diagnostics for positive or negative COVID-19 classification. We validate our experiments using a ten-fold cross-validation procedure over the training and test sets. Our findings include the shallow fine-tuning and data augmentation strategies that can assist in dealing with the low number of positive COVID-19 images publicly available. The accuracy for all CNNs is higher than 97.00%, and the SqueezeNet model achieved the best result with 99.20%.
Domain Adaptation for Robust Face Recognition Using Transfer Kernel Learning
Authors: Manesco João Renato , Marana Aparecido
Published: February 2021

In the last decades, for reasons of safety or convenience, biometric characteristics are increasingly being used to identify individuals who wish to have access to systems or places, and facial features are one of the most used characteristics for this purpose. For biometric identification to be effective, the recognition accuracy rates must be high. However, these rates can be very low depending on the difference (displacement) between the domain of the images stored in the database of the biometric system (source images) and the images used at the moment of identification (target images). In this work, we evaluated the performance of a domain adaptation method called Transfer Kernel Learning (TKL) in the face recognition problem. Results obtained in our experiments on two face datasets, ARFace and FRGC, corroborates that TKL is suitable for domain adaptation and that it is capable of improving significantly the accuracy rates of face recognition, even when considering facial images with occlusions, variations in illumination and complex backgrounds.
Improving the network traffic classification using the Packet Vision approach
Authors: Moreira Rodrigo , Rodrigues Larissa , Rosa Pedro , Silva Flávio
Published: February 2021

The network traffic classification allows improving the management, and the network services offer taking into account the kind of application. The future network architectures, mainly mobile networks, foresee intelligent mechanisms in their architectural frameworks to deliver application-aware network requirements. The potential of convolutional neural networks capabilities, widely exploited in several contexts, can be used in network traffic classification. Thus, it is necessary to develop methods based on the content of packets transforming it into a suitable input for CNN technologies. Hence, we implemented and evaluated the Packet Vision, a method capable of building images from packets raw-data, considering both header and payload. Our approach excels those found in state-of-the-art by delivering security and privacy by transforming the raw-data packet into images. Therefore, we built a dataset with four traffic classes evaluating the performance of three CNNs architectures: AlexNet, ResNet-18, and SqueezeNet. Experiments showcase the Packet Vision combined with CNNs applicability and suitability as a promising approach to deliver outstanding performance in classifying network traffic.
Fundus Eye Images Classification for Diabetic Retinopathy Detection Using Very Deep Convolutional Neural Network
Authors: Gama Ítalo , Coelho Alessandra , Baffa Matheus
Published: February 2021

Diabetic retinopathy is an anomaly responsible for causing microvascular and macrovascular damage to the retina and occurs as a consequence of the worsening of diabetes. According to the World Health Organization (WHO), diabetic retinopathy is the most common cause of avoidable blindness in patients with diabetes worldwide. Early detection is important for the efficiency of treatments. Fundus Eye Image can be used to identify early disease development and monitor the patient’s clinical condition. The diagnostic process using this type of image may require some expertise from the ophthalmologist since not all retina anomalies are clearly visible. Thus, this paper proposes the development of a classification method based on Convolutional Neural Networks, but highly dense and deeper. The proposed method obtained a total of 92% AUC in the given experiments.
Automatic Detection of Lupus Butterfly Malar Rash Based on Transfer Learning
Authors: Souza Jhonatan , De Oliveira Tiago , Casa Claudemir , Ortoncelli André
Published: February 2021

This work presents an approach to the automatic detection of Butterfly Malar Rash (BMR) in images. BMR is a Lupus symptom characterized by a reddish facial rash that appears symmetrically in the cheeks and the back of the nose. The proposed approach is based on Transfer Learning, a popular approach in Deep Learning that consists in the use of pre-trained models as the starting point for computer vision and natural language processing tasks. To perform the experiments, a database was created with images manually collected from the Instagram social network, searching for images with #butterflyrash. We evaluated the proposed approach with eight Convolutional Neural Networks (CNN) architecture. The experimental results are good results, with a precision of up to 0.957.
A Poetics of Reimagining: The Radical Epistemologies of Wynter and Glissant
Authors: Luiz Miranda ,   Caribbean Philosophical Association
Published: February 2021

Sylvia Wynter and Édouard Glissant are twentieth-century cultural theorists from Jamaica and Martinique, respectively. Their literary work critiques western knowledge production and the ways in which colonial modes of thinking have negatively impacted Caribbean subjectivity. This essay explores the counter-hegemonic poetics of Wynter’s essay “The Ceremony Must Be Found: After Humanism” and Glissant’s book “Poetics of Relation,” comparing their epistemologies and methods of literary production. To understand the philosophical resonances of these texts, they are situated in a framework of western critical theory and analyzed alongside the structural anthropology of Levi-Strauss and the poststructuralist theory of Gilles Deleuze and Felix Guattari. This essay aims to illustrate how Wynter and Glissant conceptualize historic, social, and epistemic relationality, and in doing so point us towards a decolonial future.
Still Thin but Thicker than Thin
Authors: Limbaugh Danielle ,   Department of Philosophy, Florida State University
Published: February 2021

Political institutions in a diverse social landscape struggle with what I call the ‘initial problem’ of securing universal agreement across a domain. This has led to interest in polycentric models, which devolve a polity’s governmental authority into smaller jurisdictions, eliminating the need for agreement across the polity. The three most developed polycentric models in political philosophy mistakenly assume that there will not be disagreement between jurisdictions. When such disagreement does occur—a natural byproduct of diversity—the initial problem returns when adjudicating the dispute. I propose a solution to adjudicating disputes that avoids the continual return to the initial problem.
Synopsis of the Evippinae (Araneae, Lycosidae) of Israel, with description of a new species
Authors: Armiach Steinpress Igor , Alderweireldt Mark , Cohen Mira , Chipman Ariel , Gavish-Regev Efrat
Published: February 2021

Evippinae (Araneae, Lycosidae) is a subfamily of old-world lycosids, comprising six genera and 67 species, most of them typically found in xeric habitats. Although Israel is located between the two distribution-centers of the subfamily, Africa and central Asia, only two species of the genus Evippa Simon, 1882, namely E. arenaria (Audouin, 1826) and E. praelongipes (O. Pickard-Cambridge, 1871), and a doubtful record of Xerolycosa nemoralis (Westring, 1861) were reported previously. Here we describe a new species: Evippa amitaii sp. nov., and re-describe and report a new record for Israel of E. onager (Simon, 1895 sensu Šternbergs 1979). Additionally, the genus Evippomma Roewer, 1959 is recorded for the first time from the Middle East, with a description of the previously unknown female of Evippomma simoni Alderweireldt, 1992. We discuss the possible vicariance of Evippa arenaria and E. praelongipes. We suggest that the dispersal of E. arenaria along the coastal plain is blocked by the Yarqon river valley. We suggest competition with a similar species (Pardosa subsordidatula (Strand, 1915)) as a factor affecting the seasonal activity of E. arenaria. Additionally, we present a partial molecular phylogeny of Evippinae, to clarify the placement of E. onager, a species with an unusual morphology.
Use of Communicative Strategies in L2 Learning
Authors: Valverde Zambrana José María
Published: February 2021

Our objective is to describe the importance of the learning strategies, especially those of communicative type, in the learning of the second language. We made a comparative study of the use of L2 learning strategies by Spanish students at university and by students from international mobilities coming from the Erasmus+ programme and from The Republic of South Korea. In our study we also found that gender was a significant factor among all students regardless their nationalities.  We found that the female students made a greater use and with more frequency of all type of learning strategies, especially those of communicative type, with special relevance in the socio-affective strategies. In our conclusion, we indicate that education or qualification in the strategies of learning for the acquisition of a language can help the student of a foreign language to learn better if his/her awareness of the learning strategies is increased, and if the number of strategies that the students use is enlarged.
Verbal Evidence of Task-related Strategies in EFL
Authors: Azpilicueta-Martínez Raúl
Published: February 2021

The benefits of task-based interaction in Second Language Learning (SLL) have been made increasingly evident in the literature. However, unlike adult studies, only recently has interaction research on EFL children grown in popularity. Most children-based research has focused primarily on Negotiation of Meaning, while other age-related aspects, including a more comprehensive analysis of how adults and children perform and resolve tasks, remain relatively unexplored. This paper addresses this gap by analysing the similarities and differences in the task-related strategies of twenty children aged 8 and 9 and fourteen adult L1-Spanish EFL learners at low levels of competence in paired interaction. Results provide evidence of clear age-related differences, as adults were more consistent and approached the task in a more predictable and efficient fashion. Findings also point to task repetition as a key factor leading to a more successful performance in both groups, even more markedly in the case of children.
Pour une exégèse des écrits de l’historien Louis Bergeron
Authors: André Bernard
Published: February 2021

Décédé en 2014, Louis Bergeron a été l’un de ceux qui ont le plus contribué à la prise en considération du patrimoine de l’industrie en France à partir des années 1975, puis dans le monde à la fin du XXe siècle et au début du XXIe. Historien, directeur d’études dans l’un des plus grands établissements de recherche français, il a beaucoup travaillé sur les élites financières et industrielles de la France au XIXesiècle. Intimement convaincu qu’il fallait conserver les traces matérielles de l’industrie depuis son émergence, en tant que témoignages d’une culture technique commune à toutes les grandes nations, au même titre que les cultures religieuses ou artistiques, il a décuplé des initiatives dans de nombreux pays. Mais il n’a pas eu le temps de rédiger le grand ouvrage que beaucoup attendait de lui. C’est pourquoi, pour retracer sa pensée, sa philosophie et les conditions de ses actions, il convient de construire un corpus de ses innombrables écrits.
Archéologie industrielle et patrimoine industriel
Authors: Fluck Pierre
Published: February 2021

Cet article questionne dans un premier temps la définition de l’archéologie industrielle, lui préférant la locution plus nuancée « archéologie des mondes industriels ». Il constate le basculement, dans les appétences des chercheurs, en direction du champ sans doute plus attractif du patrimoine industriel. Celui-ci fait l’objet d’une analyse conduite à partir de cas d’études, qui aboutit à une cartographie revêtant la forme d’un triangle équilatéral mettant en balance les éléments naturels, les réalisations matérielles d’origine anthropique et le patrimoine immatériel. Au vu de ces approches, il apparaît très clairement que les aires de l’archéologie et du patrimoine ne se recouvrent que partiellement. On aborde enfin, dans l’immense foule des traces laissées par l’industrie, celles pour lesquelles la certification patrimoniale se révèle réfutable, ouvrant ainsi le champ d’un héritage passif de l’Anthropocène.
Industrial Archaeology at the TU Bergakademie Freiberg in Germany, in International Context
Authors: Albrecht Helmut
Published: February 2021

This article gives an overview about the development of the teaching and research activities in industrial archaeology at the Institute for Industrial Archaeology, History of Science and Technology at the University of Technology and Mining Academy Freiberg in Germany in international context. It outlines the international development of the new discipline of industrial archaeology from its beginning until today with a special focus on Germany. It discusses the subject area, objectives and methodology of industrial archaeology as well as its relation to industrial heritage, industrial monument preservation and industrial culture.
Survey on graph embeddings and their applications to machine learning problems on graphs
Authors: Makarov Ilya , Kiselev Dmitrii , Nikitinsky Nikita , Subelj Lovro
Published: February 2021

Dealing with relational data always required significant computational resources, domain expertise and task-dependent feature engineering to incorporate structural information into a predictive model. Nowadays, a family of automated graph feature engineering techniques has been proposed in different streams of literature. So-called graph embeddings provide a powerful tool to construct vectorized feature spaces for graphs and their components, such as nodes, edges and subgraphs under preserving inner graph properties. Using the constructed feature spaces, many machine learning problems on graphs can be solved via standard frameworks suitable for vectorized feature representation. Our survey aims to describe the core concepts of graph embeddings and provide several taxonomies for their description. First, we start with the methodological approach and extract three types of graph embedding models based on matrix factorization, random-walks and deep learning approaches. Next, we describe how different types of networks impact the ability of models to incorporate structural and attributed data into a unified embedding. Going further, we perform a thorough evaluation of graph embedding applications to machine learning problems on graphs, among which are node classification, link prediction, clustering, visualization, compression, and a family of the whole graph embedding algorithms suitable for graph classification, similarity and alignment problems. Finally, we overview the existing applications of graph embeddings to computer science domains, formulate open problems and provide experiment results, explaining how different networks properties result in graph embeddings quality in the four classic machine learning problems on graphs, such as node classification, link prediction, clustering and graph visualization. As a result, our survey covers a new rapidly growing field of network feature engineering, presents an in-depth analysis of models based on network types, and overviews a wide range of applications to machine learning problems on graphs.
healthcareCOVID: a national cross-sectional observational study identifying risk factors for developing suspected or confirmed COVID-19 in UK healthcare workers
Authors: Kua Justin , Patel Reshma , Nurmi Eveliina , Tian Sarah , Gill Harpreet , Wong Danny J.N. , Moorley Calvin , Nepogodiev Dmitri , Ahmad Imran , El-Boghdadly Kariem
Published: February 2021

Objective

To establish the prevalence, risk factors and implications of suspected or confirmed coronavirus disease 2019 (COVID-19) infection among healthcare workers in the United Kingdom (UK).

Design

Cross-sectional observational study.

Setting

UK-based primary and secondary care.

Participants

Healthcare workers aged ≥18 years working between 1 February and 25 May 2020.

Main outcome measures

A composite endpoint of laboratory-confirmed diagnosis of SARS-CoV-2, or self-isolation or hospitalisation due to suspected or confirmed COVID-19.

Results

Of 6,152 eligible responses, the composite endpoint was present in 1,806 (29.4%) healthcare workers, of whom 49 (0.8%) were hospitalised, 459 (7.5%) tested positive for SARS-CoV-2, and 1,776 (28.9%) reported self-isolation. Overall, between 11,870 and 21,158 days of self-isolation were required by the cohort, equalling approximately 71 to 127 working days lost per 1,000 working days. The strongest risk factor associated with the presence of the primary composite endpoint was increasing frequency of contact with suspected or confirmed COVID-19 cases without adequate personal protective equipment (PPE): ‘Never’ (reference), ‘Rarely’ (adjusted odds ratio 1.06, (95% confidence interval: [0.87–1.29])), ‘Sometimes’ (1.7 [1.37–2.10]), ‘Often’ (1.84 [1.28–2.63]), ‘Always’ (2.93, [1.75–5.06]). Additionally, several comorbidities (cancer, respiratory disease, and obesity); working in a ‘doctors’ role; using public transportation for work; regular contact with suspected or confirmed COVID-19 patients; and lack of PPE were also associated with the presence of the primary endpoint. A total of 1,382 (22.5%) healthcare workers reported lacking access to PPE items while having clinical contact with suspected or confirmed COVID-19 cases.

Conclusions

Suspected or confirmed COVID-19 was more common in healthcare workers than in the general population and is associated with significant workforce implications. Risk factors included inadequate PPE, which was reported by nearly a quarter of healthcare workers. Governments and policymakers must ensure adequate PPE is available as well as developing strategies to mitigate risk for high-risk healthcare workers during future COVID-19 waves.
Knowledge, Attitude and Practice of Health Science Students/Researcher on Status of Usage of Animals, 3R’s Strategy and their Alternatives for Pharmacological Studies: An Exploratory Study
Authors: Sharma Rishabh , Thakur Ravi , Arora Malika , Kumar Rakesh , Bansal Parveen
Published: February 2021

Introduction: The number of students in health science education is increasing day by day due to mushrooming of the private institutes. Hence, there is an increase in number of animals that have been used for animal experimentation irrespective of any known significance. Aim: To assess the Knowledge, Attitude and Practice of health science students/researchers on status of usage of animals, 3R’s strategy (Reduction, Refinement, Replacement) and their alternatives for pharmacological studies. Materials and Methods: This was a cross-sectional paper-based survey that was conducted between June 2019 to September 2019 using a semi-structured questionnaire to assess the knowledge, attitude and practice of the students. The study was conducted at the Guru Gobind Singh Medical College and Hospital, Faridkot and ISF College of Pharmacy, Moga, Punjab, India. The questionnaire consisted of three domains: Socio-demographic and professional characteristics, Knowledge (10 questions), attitude and practice of participants (9 questions). Out of 440 questionnaires distributed to the participants, 310 filled the survey (response rate was 70.5%) and were included in the study. The study participants comprised of MBBS interns, Junior residents/MD students, B pharmacy students, M pharmacy students and the PhD scholars. Results: Majority of the students belonged to the age group of 19-23 years. It was observed that 79.6% (n=247) students didn’t know about the 3Rs (i.e., Reduction, Refinement, Replacement) Strategy. A 39.6% (n=123) respondents knew about the various alternatives to animal experimentation. Majority of the students 90.9% (n=282) believed that animal experiments are useful for medical research and human benefit. Conclusion: There was an almost complete lack of knowledge among participants regarding alternative animal models and 3R’s strategy. Therefore, there is a need to incorporate education intervention about alternative animal use in their curriculum.
Single Centre Based Clinicopathological Experience of Adrenal Tumours Including Some Rare Entities
Authors: Maiti Moumita , Sarkar Ranu , Maiti Krishnendu
Published: February 2021

Adrenal tumours are relatively uncommon neoplasms, broadly divided into adrenal cortical and medullary tumours. They show bimodal age distribution. This is a retrospective case series of 36 cases of adrenal tumours over three years (September 2016- August 2019) in NRS Medical College Kolkata, West Bengal, India. Apart from Haematoxylin and Eosin (H&E) staining relevant Immunohistochemistry (IHC) (synaptophysin, Ki-67, Human Melanoma Black 45 (HMB 45) were done for proper histopathological diagnosis. Amongst 36 cases, 12 cases (34%) were myelolipoma, five cases (14%) were neuroblastoma, six cases (17%) of adrenocortical adenoma, two cases (06%) adrenocortical carcinoma, five cases (14%) pheochromocytoma, two cases (06%) mature teratoma, one case (03%) of epitheiloid PECOMA (Perivascular epithelioid cell tumour), one case haemorrhagic pseudocyst (03%) and two cases (06%) were metastasis from renal cell carcinoma. Eleven patients had specific hormonal symptoms. Bimodal age distribution with 10 cases in younger than 14 years, eight cases in more than 50 years and rest 18 cases were in range of 14-50 years. Overall male: female ratio is 5:4 but myelolipoma was common in female. We have encountered few rare entities-Epithelioid PECOMA (angiomyolipoma), Pheochromocytoma with Von Hippel-Lindau (VHL), Receptor for Neurotrophic Factor (RET) Mutation and uncommon presentation with Cushing’s Syndrome, one Adrenal Oncocytoma and two Mature Teratoma.