bluuebunny/crossref_metadata_2025 huggingface dataset:
Internet Banking Among Baby Boomers: A Case Study on Customer Satisfaction in Bangsar, Kuala Lumpur
Authors: Pei Xin Yeap , Devamanickam Vasithra , Ismail Marzuki Nur Izyan Syazwani Binti , Wan Ahmad Daknam Siti Nur Aminah Binti , Adnan Siti Noratikah Binti , Muhammad Khairul Nur Sharina Binti , Ramli Nur Hikmah Binti , Krishnan Isai Amutan , Mello Geraldine De , Kanan Vasudevan Naidu , Baskaran Shasthrika , Muthutamilselvan Kausalya
Published: August 2020

The present study focuses on the factors relating to why Baby Boomers are reluctant to adopt internet banking and to investigate the level of convenience experienced when using it. A quantitative method was employed to analyse the data based on the conceptual framework. A survey questionnaire was chosen as the research instrument. The findings show that the two independent variables, service quality and convenience, did not correlate, but there was a significant affect from customer satisfaction with internet banking among the Baby Boomer respondents. The R-squared value was 0.928, meaning that 92.8% of the both independent variables affected the dependent variable. Another 7.2% was indicated for other independent variables not used in this study.
Pengetahuan, Sikap dan Kesedaran Pendorong Tingkah Laku Inovasi Pembungkusan Usahawan Mikro
Authors: Amat Mahani , Ishak Suraiya
Published: August 2020

Tingkah laku inovasi pembungkusan didorong oleh faktor pengetahuan, sikap dan kesedaran. Artikel ini bertujuan untuk mengukur tahap faktor pendorong tingkah laku inovasi pembungkusan yang terdiri daripada faktor pengetahuan, sikap dan kesedaran usahawan mikro. Kerangka kajian ini berasaskan kepada Teori Tingkah Laku Terancang. Seramai 40 orang usahawan mikro makanan di negeri Selangor telah dipilih sebagai sampel kajian melalui teknik persampelan rawak sistematik. Instrumen kajian ini merupakan soal selidik dengan enam skala Likert dan mengandungi item-item yang telah disahkan oleh pakar-pakar penilai serta mempunyai nilai kebolehpercayaan yang baik. Data kajian ini dianalisis secara statistik deskriptif iaitu berasaskan nilai min dan peratusan. Dapatan kajian menunjukkan purata peratusan dan nilai min keseluruhan bagi tahap pengetahuan dan kesedaran tingkah laku inovasi pembungkusan adalah tinggi. Malah, usahawan juga bersikap sangat positif untuk melaksanakan inovasi pembungkusan. Kesimpulannya, tingkah laku inovasi pembungkusan usahawan mikro didorong oleh faktor pengetahuan, sikap dan kesedaran setelah mendapat bimbingan agensi.
Pembelajaran Berasaskan Bahan dalam Mata Pelajaran Sejarah
Authors: Kaviza M.
Published: August 2020

Kajian tinjauan ini bertujuan untuk mengenal pasti tahap kesediaan terhadap pembelajaran berasaskan bahan dari aspek pengetahuan, kemahiran dan sikap yang melibatkan seramai 60 orang murid tingkatan empat yang ditentukan berdasarkan teknik persampelan bertujuan merupakan sampel kajian ini. Instrumen kajian ini merupakan soal selidik yang menggunakan skala likert lima mata yang telah disahkan oleh pakar dalam bidang pendidikan sejarah yang berpengalaman dan mempunyai nilai kebolehpercayaan yang baik (0.96). Dapatan kajian ini menunjukkan bahawa tahap kesediaan terhadap pembelajaran berasaskan bahan dari aspek pengetahuan, kemahiran dan sikap berada pada tahap tinggi. Implikasi kajian ini telah mencadangkan kepada pelaksanaan pembelajaran berasaskan bahan dengan berkesan di dalam kelas bagi menyahut cabaran global dalam menggalakkan proses pembelajaran abad ke-21 dalam mata pelajaran sejarah.
Amalan Kemahiran Penyesuaian dalam kalangan Pelajar Universiti: Suatu Pemerhatian Awal
Authors: Saidon Nurul Haidah , Ahmad Zaini Muhammad Ilham , Asyraf Sukry Muhammad Athif , Mohd Ishar Mohamad Izzuan
Published: August 2020

Dalam mengharungi kehidupan di peringkat pengajian tinggi, pelajar akan menghadapi perasaan yang bercampur baur seperti gelisah, gusar, takut, malah bercampur gembira dan teruja apabila ditawar dan diterima masuk ke kolej atau universiti. Pada semester pertama, keadaan mereka boleh menimbulkan rasa tertekan dan banyak penyesuaian yang perlu dilalui. Pelajar juga boleh rasa teruja untuk mempelajari perkara yang baru. Perasaan ini mendorong mereka untuk bersiap sedia menghadapi suasana pengajian yang jauh berbeza dari keadaan di sekolah. Ketika ini kemahiran penyesuaian digunakan untuk terus bertahan dan membiasakan diri dengan persekitaran baru. Selain kemahiran teknikal, graduan ideal yang berbakat juga mempunyai ciri-ciri kemahiran insaniah. Keazaman dalam membangunkan Kemahiran Insaniah pelajar telah menggerak Kementerian Pengajian Tinggi untuk menghasilkan Modul Pembangunan Kemahiran Insaniah sebagai rujukan kepada institusi pengajian tinggi di Malaysia. Penghasilan modul ini telah menyumbang kepada terciptanya atribut graduan untuk sesetengah universiti termasuk Universiti Teknologi Malaysia. Antara atribut graduan yang menyumbang kepada proses pengasahan kemahiran insaniah pelajar ialah kemahiran kesarjanaan, kemahiran berfikir, kemahiran kepimpinan, kemahiran keusahawanan dan kemahiran penyesuaian. Artikel ini merupakan artikel konsep yang membincangkan amalan yang boleh dipraktikkan oleh pelajar dalam menyesuaian diri dengan kehidupan di institusi pendidikan tinggi melalui interpersonal, intrapersonal dan kemudahan teknologi.
Malaysia and Its Transition Process Towards More Gender Equality at the Labor Market
Authors: Weimann-Sandig Nina
Published: August 2020

The promotion of labor market opportunities for females in Malaysia has been part of several quantitative studies. Although the empirical data stresses the existence of gender-related constraints females are facing when trying to access labor market, the reasons remain mainly unexplored. Thus, this qualitative study tried to identify major constraints and challenges females are facing when entering the Malaysian labor market. Focus group discussions with different groups of females aged 16 to 50 have been conducted, as well as with employers and HR Managers of global players. The study identifies local disparities between rural and urban living as major consequences for female labor market access and the achievable employment situation. The analysis of the focus groups also highlights that two groups of women – females living in Projek Perumahan Rakyat (PPR) or “People ́s Housing Project” areas and Single Mothers – are strongly affected from often being no constant part of labor market but trapped in side-jobs or non-satisfying microbusinesses. The solidification of social inequality by an absence of support structures and empowerment programs can be seen as the most important reason. Policy recommendations, based on the empirical results, are therefore discussed in order to stimulate a discussion on gender equality.
Aplikasi Teori Analisis Domain dalam Domain Bahasa Etnik Melayu Brunei di Sabah
Authors: Mohd. Arif Mohd. Arifin , Mohd Kiram Norazlina , Dani Noor Aina
Published: August 2020

Kajian ini dijalankan terhadap pelajar etnik Melayu Brunei di Membakut, Sabah. Tinjauan lapangan telah melibatkan 56 pelajar dari tingkatan 4. Tiga faktor pola pilihan bahasa Teori Analisis Domain diterapkan ke dalam objektif kajian. Korelasi Spearman's rho dikira sesuai dengan data nominal pemboleh ubah. Dapatan menunjukkan bahawa dalam domain perilaku bahasa, dialek Melayu Brunei merupakan bahasa yang dominan di rumah (73.21%) dan di sekolah (66.07%). Dalam domain dan hubungan-peranan dengan ahli keluarga, peserta kajian paling kerap mengguna dialek Melayu Brunei. Dalam hubungan-peranan secara formal dengan pengetua sekolah, para guru dan rakan sekolah terdapat kecenderungan penggunaan dialek Melayu Brunei. Sumbangan empirikal dan konsepsi analisis domain menyerlahkan pengenalpastian perbezaan pemfungsian antara dwibahasa koordinat dan dwibahasa kompaun dari satu kontinum ke satu kontinum. Keputusan hipotesis kajian menunjukkan terdapat hubungan yang sederhana positif .438 antara penggunaan bahasa ibunda dalam domain keluarga dengan domain pendidikan.
Openness Personality Trait on Local Government Information System Services: An Overview
Authors: Mohamed Sawal Mohd Zool Hilmie , Talib Azlizan , Ngah Kamarudin
Published: August 2020

This paper investigates the adaptation of one of the Big Five Personality traits namely Openness in local community acceptance toward local government information system. The data collected via survey based on Openness statement taken from Big Five Personality Inventory item. This is to gain idea regarding acceptance on information system such as information system services in local government agencies in Northern Malaysia that has been introduced to them. Questionnaires has been distributed to collect data and has been analyzed using statistical software. Analyses such as percentage and correlation are been executed to differentiates and tabulate the data to readable results. The findings of the study believe could give the idea to the local government or local authority in providing better services to their community.
Kerangka Pengajaran STEM-Dialogik (STEM-Di) Untuk Pensyarah Fizik Matrikulasi Bagi Konsep Kerja dan Tenaga
Authors: Shahari Shariza
Published: August 2020

Tujuan kajian ini adalah untuk membina dan membangunkan kerangka pengajaran STEM-Dialogik (STEM-Di) bagi pensyarah fizik kolej matrikulasi. Kerangka pengajaran STEM-Di yang bakal dibina merangkumi topik fizik bagi konsep kerja dan tenaga yang dipelajari oleh pelajar matrikulasi pada semester satu pengajian mereka. Pengajaran secara dialogik secara ringkasnya merupakan teknik pengajaran yang membolehkan guru berupaya untuk merangsang serta menggalakkan pelajar berfikir, mampu meningkatkan pembelajaran dan pemahaman pelajar dengan cara mengambil pendapat pelajar secara serius, menggalakkan pelajar bercakap, pelajar membina makna pelajaran secara kolaboratif serta memberi peluang kepada pelajar untuk mengubahsuai topik perbincangan. Kajian ini akan menggunakan pendekatan Rekabentuk dan Penyelidikan Pembangunan (DDR). Semasa fasa satu, analisis keperluan akan melibatkan kaedah tinjauan, iaitu temubual pakar serta soal selidik. Pakar yang akan dilibatkan adalah seramai 3 orang dalam bidang pedagogi/kurikulum, manakala bilangan pensyarah fizik yang terlibat dalam soal selidik akan ditentukan menggunakan kaedah Krejcie dan Morgan (1970). Kajian rintis juga akan dijalankan dalam fasa ini iaitu melibatkan seramai 30 orang pelajar. Ini bagi mengenalpasti samada terdapat keperluan terhadap konstruk pengajaran STEM-Di yang dicadangkan berdasarkan sumber serta kajian literatur pengkaji. Dalam fasa kedua, pengkaji telah memisahkan kepada dua sub-fasa iaitu sub-fasa rekabentuk dan sub-fasa pembangunan. Sub-fasa rekabentuk merujuk kepada penghasilan dan pembinaan komponen/konstruk yang terdapat dalam kerangka pengajaran dialogik. Sub-fasa pertama berkenaan menggunakan pendekatan Teknik Fuzzy Delphi (FDM) manakala sub-fasa kedua iaitu pembangunan kerangka melibatkan pendekatan Interpretive Structural Modelling (ISM). FDM akan melibatkan sejumlah 20 panel pakar dalam bidang iaitu 7 pakar/pensyarah dalam bidang kurikulum dan rekabentuk pengajaran fizik, 7 pensyarah kanan dalam kandungan fizik di universiti dan 6 guru pakar (cemerlang) bagi mata pelajaran fizik matrikulasi, manakala ISM akan melibatkan 8 orang panel pakar sahaja. Bagi fasa ketiga pula, seramai 10 orang panel pakar di kalangan pensyarah fizik di universiti serta pensyarah fizik matrikulasi di zon selatan akan turut serta. Analisis data dalam fasa satu melibatkan statistik deskriptif iaitu skor min dan sisihan piawai menggunakan Statistical Package for Social Science (SPSS). Pada sub-fasa pertama di fasa dua, nilai ambang, d, peratus kesepakatan pakar, serta skor Fuzzy, A akan dianalisis mengunakan perisian Microsoft Excel, manakala sub-fasa kedua di fasa dua pula menggunakan perisian Concept Star dalam membangunkan matriks struktur interaksi kendiri (SSIM). Bagi dapatan data berbentuk semi- kuantitatif di fasa tiga pula, analisis yang akan digunakan adalah Teknik Kumpulan Nominal Ubahsuai (NGT Modified).
Realiti Daya Hidup Bahasa Bisaya Muslim Sebagai Etnik Minoriti di Sabah
Authors: Suhailin Md. Roslan , Sujud Arba’ie , Che Rodi Rozita , Sha'ri Sharil Nizam
Published: August 2020

Kajian ini bertujuan untuk menentukan daya hidup bahasa etnik Bisaya Muslim di Beaufort, Sabah. Sebanyak 205 pelajar menengah atas dari tiga buah sekolah telah dipilih sebagai peserta melalui pensampelan rawak. Pengkaji menggunakan enam set soal selidik daripada model UNESCO. Hasil kajian menunjukkan bilangan penutur mutlak bahasa Bisaya dan transmisi bahasa antara generasi adalah terancam. Bahasa Bisaya dituturkan oleh kebanyakan generasi ibu bapa dan ke atas. Trend dalam domain penggunaan bahasa juga telah berkurangan. Walaupun bahasa Bisaya masih digunakan di rumah, bahasa Melayu yang dominan mula menular ke dalam domain keluarga. Respons terhadap domain dan media baharu masih bertahan manakala bahan untuk pendidikan dan literasi bahasa Bisaya ditafsirkan sebagai wujud dalam bentuk bahan bertulis yang hanya bermanfaat untuk sebahagian ahli masyarakat sahaja. Bahasa Bisaya mungkin ada kepentingan simbolik tetapi bukanlah sebahagian daripada kurikulum sekolah. Kesimpulannya, realiti daya hidup bahasa Bisaya Muslim menggambarkan prasyarat lazim ke arah bahasa terancam seperti tertera dalam model UNESCO meskipun penutur belum beralih ke bahasa lain. Pengkaji menyarankan agar kerangka etnolinguistik revitalisasi bahasa Bisaya di Beaufort, Sabah diimplementasikan sebagai projek perintis bagi program pemuliharaan bahasa.
Work-Family Conflict and Psychological Health Among Nurses: A Preliminary Observation
Authors: Mohd Hanifa Suzana , Ismail Zanariah , Ahmad Soadah , Arsat Zarinah
Published: August 2020

Nursing is a female-dominated profession and is commonly considered as a stressful and challenging job. The nature of the nurses’ work, which is highly demanding, brings about difficulties in balancing work and family life, further resulting in work-family conflict. Apart from workplace stressors, work-family conflict has been identified as one of the factors that can threaten nurses' psychological health. This literature review thus sought to identify the factors associated with nurses’ experience of work-family conflict and its consequences to their psychological health. Accordingly, this literature review found that nurses’ work characteristics, namely, shift work, job demand and individual factors, significantly influence work-family conflict, which may in turn affect their psychological health in several ways. Future research should focus on positive conditions or resource-based perspectives that can help nurses in reducing work-family conflict and enhancing their health and well-being.
Information, Motivation and Behavioural Factors in Influencing Diabetes Self-Care: A Conceptual Paper
Authors: Panting Albeny Joslyn , Tengku Baharudin Shah Tengku Puteri Nadiah , Nasir Nurul Nadhirah , Mohammed Nadzri Nur Izzati , Amirudin Nadia , Ithnain Norbaidurah , Suhaimi Saiful Adli , Kassim Rosnani , Krishnan Manimaran
Published: August 2020

Globally, diabetes is a major public health concern and has impacted an estimated 425 million adults.  The increasing trend of diabetes incidence has impacted the Malaysian population and healthcare system. Evidence from studies suggested that diabetes can be treated and controlled through behavioural intervention. These include combining lifestyle with pharmacotherapy. Scholars in health behaviour highlighted the importance of assessing and monitoring the behavioural intervention among diabetic patients in terms of psychosocial aspects, such as information, motivation and behavioural factors, in relations with diabetes self-care. This article provides an overview of the empirical evidence regarding the importance of identifying information, motivation and behavioural factors, in relations with diabetes self-care. Information is among the prominent factors in establishing good diabetes management. Motivation can be conceptually defined as factors that predispose one to action and cues to behaviour change. Behavioural factors identified in this review includes compliance towards diabetes self-care. The outcome of this review could provide a better understanding of information, motivation and behavioural factors, and its relations with diabetes self-care.
The Influence of Green Skepticism, Environmental Knowledge and Environmental Concern on Generation Z's Green Purchase Intentions in Indonesia
Authors: Fabiola Karolina , Mayangsari Lidia
Published: August 2020

As environment become a prominent issue throughout the world, consumer behaviour significantly changed and adapted to be more sustainable. This interest around environment has led to aspiring business opportunities of green product or environmentally friendly product. Firms started to produce green product as a way to remain competitive in the market. With the number of green product increased, there’s a skeptical believe that companies started to present misleading and false information about their green product to merely boost profit or reputation. This consumers’ believe is alarming to firms as it is considered to detriment consumer’s purchase intention. In addition, young generation are more likely to be open to new information and are considered as potential environmentally friendly product consumers. Alongside with green skepticism, two most - studied indicators of green purchase intention notably environmental knowledge and environmental concern were analysed on young consumers’ green purchase intention. Research was conducted using quantitative approach to 403 Generation Z respondents and analysed using Partial Least Square (PLS) – SEM method. The result of this research shows that green skepticism has insignificant negative influence on green purchase intention while both environmental knowledge and environmental concern have positive and significant influence on green purchase intention. These findings might be useful for companies to understand the green purchase behaviour among young consumers and better developed their marketing strategies.
Papo reto sobre violência contra a mulher: relato de experiência de uma prática de extensão universitária
Authors: Labiak Fernanda Pereira , Novais Melissa Medes de , Silva Gabriel De Novaes
Published: August 2020

O presente relato de experiência tem como objetivo apresentar entendimentos e percepções sobre a intervenção dos membros do projeto de extensão Direito Intergeracional e Transversalidade da Universidade do Vale do Itajaí–UNIVALI, com 31 estudantes do ensino médio de uma escola não pública e dois professores da mesma instituição, em que se focou na conscientização e na prevenção da violência contra a mulher. A fim de alcançar o objetivo proposto demonstrar-se-á o planejamento e a atividade realizada (palestra dialogada) pelos extensionistas na comunidade. A partir dessa experiência, foi possível evidenciar que a comunidade em que a intervenção ocorreu esteve e está receptiva a dialogar sobre a violência de gênero. Ademais, ao estabelecer essa discussão, trabalhou-se com uma demanda social real e urgente, em que se compartilharam saberes entre as duas pontas – Universidade e comunidade–possibilitando contribuir para modificar, minimamente, as relações de poder vigentes na sociedade.
A promoção de saúde mental em idosos não-institucionalizados atendidos pelo SUS: gerações do fazer saúde
Authors: Silva Marcello José Ferreira , Dillon Nicole Morais , Araújo Ana Clara , Andrade Bryan Skywalker Rufino , Reis Junior Luiz Wanderley Fontel dos , Bonfim Neto Luiz Lima , Lobato Carla Mércia Souza Dacier
Published: August 2020

Agravos de saúde mental em pessoas idosas representam um problema de saúde pública mundial, à medida que aumentam a quantidade de hospitalizações e a taxa de mortalidade. O objetivo desse estudo foi de que, seguindo a linha de desenvolvimento de meios e processos de produção e de inovação, foram realizadas atividades de educaçãoem saúde mental em população idosa não-institucionalizada, usuárias de Unidades Municipais de Saúde na periferia de Belém (PA), entre março de 2017 e 2018. Percebeu-se interesse da população alvo em participar das discussões e das atividades. Assim, ficou evidente a relevância da utilização de estratégias de educação em saúde como forma de prevenção de doenças de saúde mental.
Relato de experiência: oficinas Abayomi como elementos de valorização da cultura Afro-brasileira
Authors: Silva Jadh Beatriz , Klen Edmilson Rampazzo
Published: August 2020

Este trabalho tem por objetivo relatar a experiência da realização de oficinas de Abayomi, especialmente, no espaço Sala Verde, na Universidade Federal de Santa Catarina (UFSC) e na Escola de Educação Básica América Dutra Machado, no bairro Monte Cristo, na cidade de São José/SC, com parceria do projeto de extensão Oficina de Gestão Social e Pública, coordenado pela professora Helena Kuerten Salles. As mesmas foram realizadas no segundo semestre de 2019, planejadas dentro do cronograma de atividades do Programa de Educação Tutorial (PET) Conexões de Saberes – Comunidades Populares Urbanas da UFSC, com o intuito de não somente remeter ao ensino e valorização da cultura afro-brasileira de forma lúdica e participativa, mas também como ferramenta que possibilita levantar o debate sobre a questão racial, com crianças, jovens e adultos.
Projeto de extensão Faladeiras
Authors: Moreira Maria Regina De Avila , Luciano Christiane Dos Santos , Amaral Cynthia Ribeiro Luiza do , Zanghelini Débora , Oliveira Ingrid De Cássia Souza de , Olivio Maria Cecilia
Published: August 2020

O projeto de Extensão Faladeiras é um projeto feminista e está vinculado ao Núcleo de Estudos em Serviço Social e Organização Popular (NESSOP) do Departamento de Serviço Social da Universidade Federal de Santa Catarina. Caracteriza-se como ação junto à comunidade, tendo como foco principal a violência de gênero. Da primeira edição em 2017 até agora, o projeto original sofreu modificações, especialmente por avaliações permanentes com as participantes do projeto. Assim, o principal objetivo deste Relato de Experiência é, além de socializar a prática de um projeto de extensão, sinalizar a importância do contexto para indicar as necessidades de mudanças, o que pode ser visto na apresentação das edições. Esse deve ser o compromisso da Universidade Pública com a defesa dos direitos da população, na luta contra todas as formas de opressão e exploração vigentes.
Observação Psicanalítica da Relação Mãe-Bebê no Cárcere
Authors: Santos Antonia Claudia Soares Leão dos , Silva Luan Sampaio , Pedroso Janari Da Silva
Published: August 2020

Este artigo é o resultado de uma pesquisa de mestrado realizada com o método psicanalítico de observação da relação mãe-bebê criado por Esther Bick, e o contexto utilizado foi uma prisão feminina na região metropolitana de Belém do Pará. Os participantes foram três díades, cujos bebês eram nascidos no cárcere. O referido método recomenda que o tempo total de observação seja de dois anos, contudo houve uma adaptação quanto ao tempo devido se tratar de uma pesquisa de mestrado com prazo de dois anos. Desse modo, as observações foram realizadas durante cinco meses, com uma sessão semanal. As transcrições foram escritas logo após as observações, e foram supervisionadas na sequência. A teoria psicanalítica embasou o referencial teórico, mais especificamente autores clássicos do desenvolvimento humano, como Winnicott, Mahler, Klein e Spitz. Os resultados foram agrupados em três temas: a mãe e o seu bebê; o colo e o carrinho do bebê; e o tempo de brincar. As mães eram jovens, baixa escolaridade; multíparas, estavam detidas pela primeira vez, e dedicavam cuidado exclusivo ao recém-nascido. Quanto à questão jurídica, as três respondiam criminalmente pelo envolvimento com o tráfico de drogas. O estudo comprovou que o método Bick pode ser empregado em ambiente prisional com o propósito de compreender o desenvolvimento emocional do bebê.
Políticas Públicas Culturais para as Infâncias Cearenses: Anúncio de Novos Ventos?
Authors: Costa Erica Atem , Paiva Cavalcante Andrea Pinheiro
Published: August 2020

A relação entre infância e políticas públicas brasileiras, historicamente, aparece sob a insígnia da (in)visibilidade, pela ausência de prioridade e/ou pelo fato de as crianças não figurarem nessas ações como sujeitos ativos. Este artigo discute essa relação a partir da emergência de políticas públicas no âmbito da cultura em Fortaleza, especificamente o Edital de Apoio a Projetos de Cultura Infância 2016, lançado pela Secretaria de Cultura do Estado do Ceará (Secult). Pretendeu-se: a) evidenciar as possibilidades de outras cenas para/com as crianças no âmbito da cultura; b) analisar as relações entre infância e cultura presentes nas propostas e c) conhecer a avaliação dos proponentes sobre o edital. Como referencial teórico, optou-se pelo campo interdisciplinar dos novos estudos da infância. Como estratégias de produção dos dados, realizaram-se entrevistas semiestruturadas com os proponentes, categorização dos formulários dos projetos e análise do referido edital. A partir da análise conjunta dos dados, pode-se perceber que a possibilidade de outras cenas para/com as crianças aparece relacionada aos diversos níveis de participação das crianças. As relações entre infância e cultura se expressam na variedade das áreas contempladas: artes visuais, teatro, dança e música, assim como na existência de diferentes formas de vinculação dos proponentes com o campo da infância. Por fim, os proponentes possuem uma visão positiva do edital, em consonância com a linguagem afirmativa das infâncias presente no documento. Concluiu-se que as relações entre infância e políticas públicas, no caso do edital, oportunizaram aos atores-adultos ampliar experiências estético-políticas junto às crianças em diversas áreas. Identificou-se, entretanto, a existência de limitações, que passam pela demora na liberação dos recursos, pela ausência de uma ação articulada entre os diversos proponentes sob a coordenação da Secult e, ainda, pela descontinuidade da iniciativa. Desse modo, a presença efetiva das crianças como agentes sociais atuantes nas cenas culturais permanece em disputa e por conquistar.
Probing key organic substances driving new particle growth initiated by iodine nucleation in coastal atmosphere
Authors: Wan Yibei , Huang Xiangpeng , Jiang Bin , Kuang Binyu , Lin Manfei , Xia Deming , Liao Yuhong , Chen Jingwen , Yu Jian Zhen , Yu Huan
Published: August 2020

Abstract. Unlike the deep understanding of highly oxygenated organic molecules (HOMs)
driving continental new particle formation (NPF), little is known about the
organic compounds involved in coastal and open-ocean NPF. On the coastline
of China we observed intense coastal NPF events initiated by iodine
nucleation, but particle growth to cloud condensation nuclei (CCN) sizes was
dominated by organic compounds. This article reveals a new group of
C18,30HhOoNn and C20,24,28,33HhOo
compounds with specific double-bond equivalents and oxygen atom numbers in
new sub 20 nm coastal iodine particles by using ultrahigh-resolution Fourier
transform–ion cyclotron resonance mass spectrometry (FT-ICR-MS). We proposed
these compounds are oxygenated or nitrated products of long-chain
unsaturated fatty acids, fatty alcohols, nonprotein amino acids or amino
alcohols emitted mutually with iodine from coastal biota or
biologically active sea surface. Group contribution method estimated that the
addition of –ONO2, –OH and –C=O groups to the precursors reduced
their volatility by 2–7 orders of magnitude and thus made
their products condensable onto new iodine particles in the coastal
atmosphere. Nontarget MS analysis also provided a list of 440 formulas of
iodinated organic compounds in size-resolved aerosol samples during the
iodine NPF days, which facilitates the understanding of unknown aerosol
chemistry of iodine.
Microphysical features of typhoon and non-typhoon rainfall observed in Taiwan, an island in the northwest Pacific
Authors: Janapati Jayalakshmi , Seela Balaji Kumar , Lin Pay-Liam , Lee Meng-Tze , Joseph Everette
Published: August 2020

Abstract. The microphysical features of the typhoon (TY) and non-typhoon (NTY) rainfall in summer seasons are analyzed using long-term (2004 to 2016) data from the impact disdrometer installed in north Taiwan. The RSD stratified based on rainfall rate showed distinct RSD characteristics between TY and NTY rainfall. More (less) number of small (big) size raindrops are noticed in TY rainfall than NTY rainfall. RSD features in terms of gamma parameters are studied for these two weather regimes. The mass-weighted mean diameter (Dm) values are higher in NTY than TY rainfall, and an inverse behavior is observed for the normalized intercept parameter (Nw). Even after separating the rainfall regimes into convective and stratiform type, a large Dm is found in NTY compared to TY precipitation. Distinct variations in Z–R, Dm–R, Nw–R, KE–R, and KE–Dm relations are noticed between TY and NTY rainfall. Possible mechanisms responsible for the RSD variations between TY and NTY are discussed using reanalysis, remote-sensing, and ground-based radar datasets.
Estimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical framework
Authors: Roksvåg Thea , Steinsland Ingelin , Engeland Kolbjørn
Published: August 2020

Abstract. In this article, we present a Bayesian geostatistical framework that is particularly suitable for interpolation of hydrological data when the available dataset is sparse and includes both long and short records of runoff. A key feature of the proposed framework is that several years of runoff are modelled simultaneously with two spatial fields: one that is common for all years under study that represents the runoff generation due to long-term (climatic) conditions and one that is year-specific. The climatic spatial field captures how short records of runoff from partially gauged catchments vary relative to longer time series from other catchments, and transfers this information across years. To make the Bayesian model computationally feasible and fast, we use integrated nested Laplace approximations (INLAs) and the stochastic partial differential equation (SPDE) approach to spatial modelling. The geostatistical framework is demonstrated by filling in missing values of annual runoff and by predicting mean annual runoff for around 200 catchments in Norway. The predictive performance is compared to top-kriging (interpolation method) and simple linear regression (record augmentation method). The results show that if the runoff is driven by processes that are repeated over time (e.g. orographic precipitation patterns), the value of including short records in the suggested model is large. For partially gauged catchments the suggested framework performs better than comparable methods, and one annual observation from the target catchment can lead to a 50 % reduction in root mean squared error (RMSE) compared to when no observations are available from the target catchment. We also find that short records safely can be included in the framework regardless of the spatial characteristics of the underlying climate, and down to record lengths of 1 year.
EXPLORING THE CAPABILITIES OF COMBINING THE SENTINEL-2 MSI DATA AND HIGH RESOLUTION GOOGLE EARTH IMAGE FOR MAPPING MANGROVE SPECIES
Authors: Li H. Z. , Han Y. , Chen J. S.
Published: August 2020

Abstract. Knowledge gained about the mangrove species mapping is essential to understand mangrove species development and to better estimate their ecological service value. Spectral bands and spatial resolution of remote sensing data are two important factors for accurate discrimination of mangrove species. In this study, mangrove species classification in Shenzhen Bay, China was performed by using Sentinel 2 (S2) Multi Spectral Instrument (MSI) data and Google Earth (GE) high resolution imagery as data sources and their suitability in mapping mangrove forest at a species level was examined. In the classification feature groups, the spectral bands were from the S2 MSI data and the textural features were based on GE imagery. The SVM classifier was used in mangrove species classification processing with eight groups of features, which were based on different S2 spectral bands and different GE spatial resolution textural features. The highest overall accuracy of our mapping results was 78.57% and the Kappa coefficient was 0.74, which indicated great potential of using the combination of S2 MSI and GE imagery for distinguishing and mapping mangrove species.
POTENTIAL OF RESAMPLED MULTISPECTRAL DATA FOR DETECTING DESMODIUM-BRACHIARIA INTERCROPPED WITH MAIZE IN A ‘PUSH-PULL’ SYSTEM
Authors: Mudereri B. T. , Abdel-Rahman E. M. , Dube T. , Landmann T. , Niassy S. , Tonnang H. E. Z. , Khan Z. R.
Published: August 2020

Abstract. Poor crop yields remain one of the main causes of chronic food insecurity in Africa. This is largely caused by insect pests, weeds, unfavourable climatic conditions and degraded soils. Weed and pest control, based on the climate-adapted ‘push-pull’ system, has become an important target for sustainable intensification of food production adopted by many small-holder farmers. However, essential baseline information using remotely sensed data is missing, specifically for the ‘push-pull’ companion crops. In this study, we investigated the spectral uniqueness of two of the most commonly used ‘companion’ crops (i.e. greenleaf Desmodium (Desmodium intortum) and Brachiaria (Brachiaria cv Mulato) with co-occurring soil, green maize, and maize stover. We used FieldSpec® Handheld 2™ analytical spectral device to collect in situ hyperspectral data in the visible and near-infrared region of the electromagnetic spectrum. Random forest was then used to discriminate among the different companion crops, green maize, maize stover and the background soil. Experimental ‘push-pull’ plots at the International Centre of Insect Physiology and Ecology (icipe) in Kenya were used as test sites. The in-situ hyperspectral reflectance data were resampled to the spectral waveband configurations of four multispectral sensors (i.e. Landsat-8, Quickbird, Sentinel-2, and WorldView-2) using spectral response functions. The performance of the four sensors to detect the ‘push-pull’ companion crops, maize and soil was compared. We were able to positively discriminate the two companion crops from the three potential background endmembers i.e. soil, green maize, and maize stover. Sentinel-2 and WorldView-2 outperformed (> 98% overall accuracy) Landsat-8 and Quickbird (96% overall accuracy), because of their added advantage of the strategically located red-edge bands. Our results demonstrated the unique potential of the relatively new multispectral sensors’ and machine learning algorithms as a tool to accurately discern companion crops from co-occurring maize in ‘push-pull’ plots.
A LAND SUITABILITY ANALYSIS OF THE VHEMBE DISTRICT, SOUTH AFRICA, THE CASE OF MAIZE AND SORGHUM
Authors: Mufungizi A. A. , Musakwa W. , Gumbo T.
Published: August 2020

Abstract. Sustainable development goals (SDGs) 1 and 2 stand for “No poverty” and “Zero hunger” respectively. Achieving these goals cannot be separated from promoting sustainable agriculture and ensuring livelihoods, especially for rural communities. This study sought to determine the suitability of land for the cultivation of maize and sorghum crops in Vhembe District, South Africa. The study applied the Analytical Hierarchy Process (AHP) and the Weighted Linear Combination (WLC), multi-criteria decision-making techniques, for criteria weights calculations and suitability maps calculations respectively within a Geographic Information System (GIS) environment. Six criteria were used; Soil pH, Soil Structure, Rainfall, Maximum Temperature, Minimum Temperature and Elevation. A consistency ratio (CR) of 0.035 was obtained for maize criteria weights and 0.036 for sorghum criteria weights. The results revealed that only limited portions of the whole district are highly suitable for the cultivation of Maize with 15.01% and Sorghum with 19.39 of the land arable for farming. This suggests lower maize and sorghum crops yields in the district and the paper recommends more cultivation of other drought resistant crops other than maize and sorghum.
FIRST INVESTIGATION OF MEDITERRANEAN OAK TREE VITALITY WITH HIGH-RESOLUTION WORLDVIEW-3 SATELLITE DATA: COMPARING TEN VEGETATION INDICES AND THREE MACHINE LEARNING CLASSIFIERS
Authors: Tilly N. , Reddig F. , Lussem U. , Bareth G.
Published: August 2020

Abstract. Oak trees are the primary component in Mediterranean agro-silvopastoral systems. Since the second half of the 20th century, however, a severe oak decline has been observed. Climate change reinforces this problem, which is consistent with worldwide observable tree dieback. As the trees have significant ecological and socio-economic functions, their observation and assessment of vitality are increasingly researched. Satellite remote sensing is very well suitable for large-scale surveys of the extensive and sometimes hardly accessible areas. This study investigates the usability of high-resolution WorldView-3 data for the classification of tree vitality. The ground truth was collected on an Andalusian dehesa at the end of September 2019, timely corresponding with the satellite data acquisition. After customary post-processing of the WorldView-3 data, 10 vegetation indices (ARVI, CIgreen, CSI, DPI, EVI, GNDVI, NDVI, PSRI, RENDVI, and RGI) were calculated from the multispectral image. Three machine learning classifiers (Maximum Likelihood, Random Forest, and Support Vector Machine) were then used for a supervised image classification with three vitality classes (healthy, sick, and dead). Independent ground truth data were used for the validation. The best results were achieved with the red edge normalized difference vegetation index (RENDVI) and the Support Vector Machine classifier (F1 scores between 0.27 and 0.72). A maximal overall accuracy of around 0.6 is, however, improvable. Further studies should focus on other classification methods, more reliable ground truth, and combined analyses of spectral and structural data.
TOMATOD: EVALUATION OF OBJECT DETECTION ALGORITHMS ON A NEW REAL-WORLD TOMATO DATASET
Authors: Tsironis V. , Bourou S. , Stentoumis C.
Published: August 2020

Abstract. The integration of modern technologies in farming poses a challenging task to the research community. In this work, the task of selective cropping and treating is considered, whereas learning algorithms can provide essential assistance on crop growth and disease prediction, species recognition and fruit detection. In this paper, we introduce a highly specialized object detection (OD) and classification dataset of tomato fruits that contains class information for the ripening stage of each tomato fruit apart from its corresponding bounding box. With this dataset we aim to encourage the development of task-specific production ready object detection algorithms, as well as to evaluate and provide a baseline result of common state-of-the-art generic OD algorithms. In detail, a thorough presentation of the most common OD datasets takes place, where we discuss both generic OD and some highly specialized datasets. Our dataset contains more than 250 images and 2400 annotations in total. The dataset contains class information for three ripening stages of a tomato fruit provided by expert agriculturists, while providing views consistent with the targeted real-world use case scenario. Compared to other OD datasets our proposition differs in core areas such as the quality of the annotations, the object size distribution and the public availability. Evaluating the performance in our dataset for six object detection models we draw conclusions about the strength and weaknesses of each one’s performance. Finally, we present a future roadmap of revisions and discuss some future research topics that could improve the performance of OD algorithms in our dataset.
EXTRACTION OF DEBILITATED TREES ALONG THE ROAD BY BLOCKED NDVI
Authors: Tokunaga M.
Published: August 2020

Abstract. A method for extracting degraded trees was developed by using a near-infrared camera modified from a digital camera to photograph roadside trees. Traditionally, remote sensing has utilized vegetation index using near-infrared and red bands as a method to extract degraded trees. However, it was not possible to assess the health of roadside trees sufficiently because the observation from above only observed the canopy of the roadside trees. Observations from the ground can cover the shortcomings because they observe the sides as well as the canopy of the tree. However, ground-based observations are strongly influenced by sunlight, which needs to be compensated for. Also, since the target is trees on the side of the road, it is desirable to take a video of the trees from above the vehicle. The basic idea of this study is simple: a tree where the vegetation index is lower than other trees is considered a cautionary tree, and a tree where the vegetation index changes over time or month is lower than other trees is extracted as a degraded tree. In order to compare videos shot at different times, frame matching of videos and geometric correction between frames were performed. To account for geometric accuracy, pixels were grouped together as blocks, and changes in vegetation indices from block to block were analyzed. In order to improve the accuracy of the analysis, non-vegetation areas were removed from the images. As a result, blocks of debilitated trees were extracted from the trees along the road.
MODELLING OF LAND SURFACE TEMPERATURE USING GRAY LEVEL CO-OCCURRENCE MATRIX AND RANDOM FOREST REGRESSION
Authors: Blanco A. C. , Babaan J. B. , Escoto J. E. , Alcantara C. K.
Published: August 2020

Abstract. Modelling of land surface temperature (LST) is conducted to be able to explain the spatial and temporal variations of LST using a set of explanatory variables. LST in a previous study was modelled as a linear function of vegetation cover and built up cover as quantified by the normalized difference vegetation index (NDVI) and the normalized difference built-up index (NDBI), respectively, and other variables, namely, albedo, solar radiation (SR), surface area-volume ratio (SVR), and skyview factor (SVF). SVF requires a digital surface model of sufficient resolution while SVR computation needs 3D volumetric features representing buildings as input. These inputs are typically not readily available. In addition, NDVI and NDBI do not fully describe the spatial variability of vegetation and built-up cover within an LST pixel. In this study, PlanetScope images (3m resolution) were processed to provide soil-adjusted vegetation index (SAVI) and VgNIR Built-up Index (VgNIR-BI) layers. The following gray level co-occurrence matrices (GLCM) were generated from SAVI and VgNIR-BI: Mean, Variance, Homogeneity, Contrast, Dissimilarity, Entropy, Second Moment, and Correlation. Random Forest regression was run for several cases with different combinations of GLCM features and non-GLCM variables. Using GLCM features alone yielded less satisfactory models. However, the use of additional GLCM features in combination with other variables resulted in lower MSE and a slight increase in R2. Considering NDBI, NDVI, SAVI_GLCM_contrast, VgNIR-BI_GLCM_contrast, VgNIR-BI_GLCM_dissimilarity, and SAVI_GLCM_contrast only, the RF model yielded an MSE=1.657 and validation R2=0.822. While this 6-variable model’s performance is slightly less, the need for DSM and 3D building models which are necessary for the generation of SVF and SVR layers is eliminated. Exploratory regression (ER) was also conducted. The best 6-variable ER model (Adj. R2=0.79) consists of SVR, NDBI, NDVI, SAVI_GLCM_second_moment, VgNIR-BI_GLCM_mean, and VgNIR-BI_GLCM_entropy. In comparison, OLS regression using the 6 non-GLCM variables yielded an Adj. R2=0.691. The results of RFR and ER both indicate the value of GLCM features in providing valuable information to the models of LST. LST is best described through a combination of GLCM features describing relatively homogenous areas (i.e., dominant land cover or low-frequency areas) and the more heterogenous areas (i.e., edges or high-frequency areas) and non-GLCM variables.
THE LAND COVER CLASSIFICATION USING A FEATURE PYRAMID NETWORKS ARCHITECTURE FROM SATELLITE IMAGERY
Authors: Zhang Q. , Zhang Y. , Yang P. , Meng Y. , Zhuo S. , Yang Z.
Published: August 2020

Abstract. Extracting land cover information from satellite imagery is of great importance for the task of automated monitoring in various remote sensing applications. Deep convolutional neural networks make this task more feasible, but they are limited by the small dataset of annotated images. In this paper, we present a fully convolutional networks architecture, FPN-VGG, that combines Feature Pyramid Networks and VGG. In order to accomplish the task of land cover classification, we create a land cover dataset of pixel-wise annotated images, and employ a transfer learning step and the variant dice loss function to promote the performance of FPN-VGG. The results indicate that FPN-VGG shows more competence for land cover classification comparing with other state-of-the-art fully convolutional networks. The transfer learning and dice loss function are beneficial to improve the performance of on the small and unbalanced dataset. Our best model on the dataset gets an overall accuracy of 82.9%, an average F1 score of 66.0% and an average IoU of 52.7%.
ON THE COMBINATION OF PSINSAR AND GNSS TECHNIQUES FOR LONG-TERM BRIDGE MONITORING
Authors: Nahli A. , Simonetto E. , Tatin M. , Durand S. , Morel L. , Lamour V.
Published: August 2020

Abstract. Satellite based monitoring techniques are nowadays an emerging tool for structural health monitoring. In this work, we are interested in the study of the deformations of a cable-stayed bridge using both PsInSAR and GNSS techniques. The content of this paper is mainly dedicated to the development and optimization of GNSS and PsInSAR equipments installed on the bridge. We also present the data processing tools with the aim of providing accurate and reliable measurements that will be used to understand the structure behaviour in medium and long terms. We are dealing also with the uncertainty of PsInSAR measurements points localisation to determine accurately where structural motions occur. Results from GNSS show that the bridge undergoes reversible daily and seasonal displacements in the order of few centimetres. PsInSAR results still not completely clear but reveal some limitations related to PS detection on such structures. Future works need to be made on PS detection improvement to exploit GNSS and PsInSAR conjointly for bridge monitoring.