bluuebunny/crossref_metadata_2025 huggingface dataset:
Forecasting Currency in East Java: Classical Time Series vs. Machine Learning
Authors: Putri J A , Suhartono Suhartono , Prabowo H , Salehah N A , Prastyo D D , Setiawan Setiawan
Published: June 2021

Most research about the inflow and outflow currency in Indonesia showed that these data contained both linear and nonlinear patterns with calendar variation effect. The goal of this research is to propose a hybrid model by combining ARIMAX and Deep Neural Network (DNN), known as hybrid ARIMAX-DNN, for improving the forecast accuracy in the currency prediction in East Java, Indonesia. ARIMAX is class of classical time series models that could accurately handle linear pattern and calendar variation effect. Whereas, DNN is known as a machine learning method that powerful to tackle a nonlinear pattern. Data about 32 denominations of inflow and outflow currency in East Java are used as case studies. The best model was selected based on the smallest value of RMSE and sMAPE at the testing dataset. The results showed that the hybrid ARIMAX-DNN model improved the forecast accuracy and outperformed the individual models, both ARIMAX and DNN, at 26 denominations of inflow and outflow currency. Hence, it can be concluded that hybrid classical time series and machine learning methods tend to yield more accurate forecasts than individual models, both classical time series and machine learning methods.
Nowcasting Indonesia’s GDP Growth Using Machine Learning Algorithms
Authors: Muchisha Nadya Dwi , Tamara Novian , Andriansyah Andriansyah , Soleh Agus M
Published: June 2021

GDP is very important to be monitored in real time because of its usefulness for policy making. We built and compared the ML models to forecast real-time Indonesia's GDP growth. We used 18 variables that consist a number of quarterly macroeconomic and financial market statistics. We have evaluated the performance of six popular ML algorithms, such as Random Forest, LASSO, Ridge, Elastic Net, Neural Networks, and Support Vector Machines, in doing real-time forecast on GDP growth from 2013:Q3 to 2019:Q4 period. We used the RMSE, MAD, and Pearson correlation coefficient as measurements of forecast accuracy. The results showed that the performance of all these models outperformed AR (1) benchmark. The individual model that showed the best performance is random forest. To gain more accurate forecast result, we run forecast combination using equal weighting and lasso regression. The best model was obtained from forecast combination using lasso regression with selected ML models, which are Random Forest, Ridge, Support Vector Machine, and Neural Network.
Estimation of value at risk by using gjr-garch copula based on block maxima
Authors: Rusyda Hasna Afifah , Indrayatna Fajar , Noviyanti Lienda
Published: June 2021

This paper will discuss the risk estimation of a portfolio based on value at risk (VaR) using a copula-based asymmetric Glosten – Jagannathan – Runkle - Generalized Autoregressive Conditional Heteroskedasticity (GJR-GARCH). There is non-linear correlation for dependent model structure among the variables that lead to the inaccurate VaR estimation so that we use copula functions to model the joint probability of large market movements. Data is GEV distributed. Therefore, we use Block Maxima consisting of fitting an extreme value distribution as a tail distribution to count VaR. The results show VaR can estimate the risk of portfolio return reasonably because the model has captured the data properties. Data volatility can be accommodated by GJR-GARCH, Copula can capture dependence between stocks, and Block maxima can accommodate extreme tail behavior of the data.
The Use of Weather Research and Forecasting Model to Predict Rainfall in Tropical Peatland: 1. Model Parameterization
Authors: Sanusi Alfi Rizky , Taufik Muh , I Putu Santikayasa
Published: June 2021

Rainfall dynamics play a vital role in tropical peatland by providing sufficient water to keep peat moist throughout the year. Therefore, information of rainfall data either historical or forecasting data has risen in recent decades especially for an alert system of fire. Here the Weather and Research Forecasting (WRF) model may act as a tool to provide forecasting weather data. This study aims to do parameterization on WRF parameters for peatland in Sumatra, and to perform bias correction on the WRF’s rainfall output with observed data. We performed stepwise calibration to choose the best five physical schemes of WRF for use in the study area. The output WRF’s rainfall was bias corrected by spatially observed rainfall data for 2019 at day resolution. Our results showed the following schemes namely (i) Eta scheme for cloud microphysical parameters; (ii) GD scheme for cumulus cloud parameters, (iii) MYJ scheme for planetary boundary layer parameters; (iv) RRTM for longwave radiation; and (v) New Goddard schemes for shortwave radiation are best combination for being used to predict rainfall in maritime continent. The spatially interpolated observed rainfall with the Inverse Distance Weighting (IDW) was outperformed for calibration process of WRF’s rainfall as shown by statistical indicators used in this study. Further, the findings have contributed to advance knowledge of rainfall forecasting in maritime continent, particularly in providing data to support the development of fire danger rating system for Indonesian peatland.
Keefektifan Desain Pembelajaran ELPSA (Experiences, Language, Pictorial, Symbols, Application) Ditinjau dari Hasil Belajar Matematika Siswa pada Materi Relasi Dan Fungsi
Authors: Setiawati Riska Dwi , Sridana Nyoman , Baidowi Baidowi , Hayati Laila
Published: June 2021

This research aims to determine the effectiveness of the ELPSA (Experiences, Language, Pictorial, Symbols, Application) learning design in terms of the mathematics learning outcomes at VIII grade student of SMPN 1 Utan on the material relations and functions in the academic year 2020/2021. The type of this research is experimental research with posttest only design. The research was conducted in 4 meetings with 3 meetings for the learning process using all ELPSA components and 1 meeting for the implementation of the posttest. The samples were determined by using cluster random sampling technique. The sample is class VIII-1A as an experimental class which is given treatment using the ELPSA learning design. Data collection using observation and test techniques. Instruments include: observation sheets and learning outcomes tests. Learning outcome data is used to find out how far students understand the material being taught and observation data is used to determine the implementation of learning which is analyzed descriptively. Indicators of the effectiveness of the ELPSA learning design, namely if student learning outcomes with a percentage of classical learning completeness of ≥85%. The results showed that there were 14 students who had completed their studies or equal to 87,50% and 2 students who did not complete their studies or 12,50% with an average grade obtained of 82,38. The results of observations of student with active criteria with a percentage of 74% and teacher activities with good criteria with a percentage of 71%.
Klasifikasi Jenis dan Tingkat Kesegaran Daging Berdasarkan Warna, Tekstur dan Invariant Moment Menggunakan Klasifikasi LDA
Authors: Astari Siti Faria , Wijaya I Gede Pasek Suta , Widiartha Ida Bagus Ketut
Published: June 2021

Distribution process that takes a long time along with improper treatment, can cause meat become not fresh and decrease the quality of the meat. Therefore, unscrupulous meat sellers cheating on the non-fresh meat by mixing the non-fresh meat with the fresh one. A system that can classify the type and freshness level of meat automatically is needed. In this research, that system was developed based on texture, color and shape features using Linear Discriminant Analysis (LDA) classification. The methods used in the feature extraction process are statistical approach, GLCM and the HU's invariant moment. The total of data used in this research was 960 images of 3 different meat types which are chicken meat, goat meat, and beef. The highest accuracy obtained from the testing process was 90% on the combination features of HSI and invariant moment for the meat type in refrigerator
Analisis Pengenalan Pola Daun Berdasarkan Fitur Canny Edge Detection dan Fitur GLCM Menggunakan Metode Klasifikasi k-Nearest Neighbor (kNN)
Authors: Paturrahman Azizah Arif , Wijaya I Gede Pasek Suta
Published: June 2021

Daun merupakan bagian dari tubuh tumbuhan yang dapat digunakan untuk mengidentifikasi jenis dari tumbuhan. Klasifikasi daun ini dapat dilakukan dengan cara pengenalan pola bentuk struktural dan juga tekstur dari citra daun tersebut. Klasifikasi citra daun ini berdasarkan fitur canny edge detection dan fitur GrayLevel Co-occurence Matrix (GLCM) dengan menggunakan metode klasifikasi kNearest Neighbor (kNN). Data yang digunakan sebanyak 350 citra daun dengan 7 spesies yang berbeda. Hasil pengujian yang telah dilakukan dari kedua metode yaitu fitur canny edge detection classifier menghasilkan akurasi 80% dan metode GLCM classifier menghasilkan akurasi 93,3%, serta dilakukannya penggabungan kedua metode menghasilkan akurasi klasifikasi 98%. Sehingga dapat disimpulkan bahwa, dengan dilakukan penggabungan kedua fitur canny edge detection dan GLCM dengan metode klasifikasi kNN menghasilkan akurasi yang baik dalam mengidentifikasi citra daun.

Kata kunci -- daun, canny edge detection, gray-level co-occurence matrix (GLCM), k-nearest neighbor (kNN)
A IV Conferência Geral do Episcopado Latino-Americano em Santo Domingo - República Dominicana
Authors: Lorscheider Aloísio
Published: June 2021

... Ninguém ignora os insistentes apelos do Papa João Paulo II sobre a necessidade de uma Nova Evangelização. Desde o dia 9 de março de 1983, no discurso à XIX Assembléia Geral do CELAM (Conselho Episcopal Latino- americano), em Porto Príncipe - Haiti, que o Santo Padre sempre com maior frequência, nas suas pregações, vem insistindo sobre a Nova Evangelização. A primeira pergunta que se coloca é a da ocasião em que esse veemente apelo está sendo feito pelo Papa. Entram em jogo os 500 anos de Evangelização da América Latina...
Sífilis em gestantes residentes em São Luís, Maranhão: perfil e evolução de 2006 a 2018
Authors: Fernandes Judriele Francisca Vieira , Pires Rômulo Cesar Rezzo , Cantanhede Andréa Martins , Cordeiro Enndrio Eduardo da Silva
Published: June 2021

Realizou-se um estudo descritivo com os casos notificados de Sífilis Gestacional (SG) em São Luís (Maranhão) no período de 2006 a 2018. Foram analisadas as tendências de indicadores epidemiológicos pela regressão Joinpoint e as características do agravo com base nos dados do Sistema de Informação de Agravos de Notificação (Sinan). Foram notificados 1.688 casos de SG no período estudado, com tendência significativa de aumento no número de casos novos, na prevalência e no coeficiente de detecção. O perfil das gestantes com SG mostrou que a infecção foi mais frequente em mulheres de 20 a 29 anos, com ensino médio e pardas. Além disso, houve predomínio da forma primária, frequentemente detectada no terceiro trimestre gestacional e tratada com penicilina. A persistência da infecção por sífilis na gestação demonstra uma falha na prevenção de infecções sexuais na população, especialmente na gestação, implicando riscos para e mãe e para o concepto.
Legitimidade de fontes e opinião sobre coronavírus em O Grande Debate
Authors: Costa Juliana , Maia Kênia
Published: June 2021

A partir do tensionamento de conceitos como objetividade e opinião no jornalismo, polarização espetacularizada e abordagem da saúde pelo jornalismo, o artigo reflete sobre a legitimidade das fontes às quais recorrem os participantes de O Grande Debate, da CNN Brasil. Foram observadas 14 edições do quadro, com o registro das estratégias empregadas pelos comentaristas, a fim de identificar os padrões de legitimidade e de legitimação das fontes. Percebemos que foram acionadas fontes oficiais ou documentais e também fontes falsas ou pseudofontes, contribuindo para a equiparação entre opinião, fato e inverdade nos debates sobre o novo coronavírus.
Interseccionalidade e rupturas dos modos de vida pelos rompimentos de barragem: reflexões a partir de uma mídia em aderência
Authors: Oliveira Simone Santos , Portella Sergio , Katona Laura Luna
Published: June 2021

É um importante desafio a compreensão do ambiente de violação de direitos a que estão submetidas populações atingidas pelo modelo de desenvolvimento extrativista da mineração. Damos foco aos rompimentos das Barragens de Fundão (Mariana) e Córrego de Feijão (Brumadinho), especialmente às mulheres atingidas – elo menos visível dessa cadeia. Além de enfrentarem desigualdade calcada nas relações interseccionais, imposta pelo capitalismo patriarcal, são as que mais lutam pela reconstrução dos seus modos de vida. O principal esforço deste artigo é dar visibilidade à realidade vivida por essas mulheres, suas redes de solidariedade e luta. Por meio da mídia aderente e alternativa do jornal A Sirene, análise documental e entrevistas, buscamos ouvir as vozes dessas mulheres que têm seus direitos negados e sua saúde comprometida em função do insistente descaso das empresas mineradoras. Utilizando os conceitos trazidos nos estudos de Veena Das, como conhecimento venenoso e sofrimento social, realizamos a análise dos resultados.
Racismo cotidiano na política brasileira: xingamentos e ameaças contra a parlamentar negra Talíria Petrone e seu significado na herança colonial
Authors: Felix Carla Baiense , Paulla Monique
Published: June 2021

As ameaças e xingamentos racistas direcionados à parlamentar Talíria Petrone, no exercício do seu mandato, expressam a especificidade dos riscos de adoecimento e morte que as mulheres negras enfrentam na política institucional. Partindo do reconhecimento desse fenômeno como uma realidade traumática, como demonstra Kilomba, analisamos os episódios de racismo cotidiano (idem), numa perspectiva interseccional, a partir de uma publicação da deputada no Instagram, e seu significado dentro da herança colonial escravagista brasileira. A análise corrobora a necessidade de plataformas que contemplem e governos que implementem ações efetivas para coibir este tipo de crime e assegurar os direitos políticos e a saúde plena dessas mulheres.
Renewable energy development in rural areas of Uttar Pradesh: Current status, technologies and CO2 mitigation analysis
Authors: SHARMA Akanksha , SINGH H.p , VİRAL Rajkumar , ANWER Naqui
Published: June 2021

The main factor having severe impact on lives of millions of people under the poverty line is energy deficiency. For the improvement of living and standard of education, there is a need to electrify the rural areas. India has an aim of achieving 175 GW of renewable energy capacity by 2022. The use of Renewable Energy Technologies propounds huge benefits to rural areas. Over the past two decades, rural electrification has been a continuous process, accelerated through various programs and schemes. Uttar Pradesh state of India, located in the north central region of the country is the most populous state. Energy demand is increasing steadily with the development of the state. With respect to limited conventional energy sources and increasing environmental pollution, production of energy based on renewable energy sources is given high priority. This paper presents the current status of renewable energy in the state, renewable energy-based options for rural electrification including the single technology-based systems, integrated and the hybrid energy systems depending on availability of resources. The current scenario of power generation and requirement is also discussed. A complete analysis of the current CO2 emission and the mitigation potential of different RESs are presented. Based on this the cost saving potential is performed.
A Review of the Engineering Role of Burrowing Animals: Implication of Chinese Pangolin as an Ecosystem Engineer
Authors: Sun Song , Dou Hongliang , Wei Shichao , Fang Yani , Long Zexu , Wang Jiao , An Fuyu , Xu Jinqian , Xue Tingting , Qiu Huangjie , Hua Yan , Jiang Guangshun
Published: June 2021

Ecosystem engineers are organisms that alter the distribution of resources in the environment by creating, modifying, maintaining and/or destroying the habitat. They can affect the structure and function of the whole ecosystem furthermore. Burrowing engineers are an important group in ecosystem engineers as they play a critical role in soil translocation and habitat creation in various types of environment.However, few researchers have systematically summarized and analyzed the studies of burrowing engineers. We reviewing the existing ecological studies of burrowing engineer about their interaction with habitat through five directions: (1) soil turnover; (2)changing soil physicochemical properties; (3) changing plant community structure; (4) providing limited resources for commensal animals;and/or (5) affecting animal communities. The Chinese pangolin (Manis pentadactyla) is a typical example of burrowing mammals, in part (5), we focus on the interspecific relationships among burrow commensal species of Chinese pangolin. The engineering effects vary with environmental gradient, literature indicates that burrowing engineer play a stronger role in habitat transformation in the tropical and subtropical areas.The most common experiment method is comparative measurements (include different spatial and temporal scale),manipulative experiment is relatively few. We found that most of the engineering effects had positive feedback to the local ecosystem, increased plant abundance and resilience, increased biodiversity and consequently improved ecosystem functioning. With the global background of dramatic climate change and biodiversity loss in recent decades, we recommend future studies should improving knowledge of long-term engineering effects on population scale and landscape scale, exploring ecological cascades through trophic and engineering pathways, to better understand the attribute of the burrowing behavior of engineers to restore ecosystems and habitat creation. The review is presented as an aid to systematically expound the engineering effect of burrowing animals in the ecosystem, and provided new ideas and advice for planning and implementing conservation management.
Pengaruh Pupuk Organik Cair Urin Kambing dan Pestisida Alami terhadap Pertumbuhan Tanaman Kacang Panjang Beda Varietas di Desa Gunung Selamat
Authors: Pertiwi Sarah Kristi , Rizal Khairul , Triyanto Yudi
Published: June 2021

Kacang Panjang (Vigna sinensis L.) merupakan salah satu tanaman sayuran sebagai sumber vitamin dan mineral. Kacang panjang (Vigna sinensis L.) juga merupakan jenis kacang-kacangan yang banyak diusahakan di Indonesia. Desa Gunung Selamat merupakan salah satu desa dengan penghasilan tanaman palawija yang beragam salah satunya kacang panjang (Vigna sinensis L.). Namun, pengabdian masyarakat ini dilakukan karena banyak permasalahan yang dihadapi oleh petani sehingga menyebabkan pertumbuhan kacang panjang (Vigna sinensis L.)� menurun. Turunnya produksi ini antara lain disebabkan oleh iklim, tanah, pupuk, hama dan penyakit. Maka dari itu pengabdian masyarakat ini dilakukan untuk meningkatkan pertumbuhan tanaman serta mengurangi penggunaan pupuk sintetik yang dapat merusak ekosistem tanah, maka dari itu diberi perlakuan penyiraman pupuk organik cair pada tanah serta penyemprotan pestisida nabati dari daun pepaya untuk mencegah hama dan penyakit yang menyerang tanaman kacang panjang (Vigna sinensis L.). Perlakuan ini dibuat untuk melihat hasil respon tingkat pertumbuhan pada tanaman kacang panjang (Vigna sinensis L.).Long beans (Vigna sinensis L.) are a vegetable plant as a source of vitamins and minerals. Long beans (Vigna sinensis L.) are also a type of legume that is widely cultivated in Indonesia. Gunung Selamat Village is one of the villages with a variety of agricultural crops, one of which is long beans (Vigna sinensis L.). However, this community service was carried out because of the many problems faced by farmers, which caused the growth of long beans (Vigna sinensis L.) to decline. The decline in production was caused, among others, by climate, soil, fertilizers, pests and diseases. Therefore, this community service is carried out to increase plant growth and reduce the use of synthetic fertilizers that can damage the soil ecosystem, therefore it is given the treatment of sprinkling liquid organic fertilizers on the soil and spraying vegetable pesticides from pepaya leaves to prevent pests and diseases that attack long bean plants (Vigna sinensis L.). This treatment was designed to see the results of the growth rate response in long bean plants (Vigna sinensis L.).
Kampanye Komunikasi Lingkungan melalui Media Tanaman di Desa Karangjompo Kecamatan Tirto Kabupaten Pekalongan
Authors: Trimanah Trimanah , Mubarok Mubarok , Maghvira Genta
Published: June 2021

Desa Karangjompo di kecamatan Tirto adalah salah satu desa di Kabupaten Pekalongan yang terdampak banjir selama lebih dari 5 tahun. Salah satu penyebab banjir adalah buruknya perilaku warganya yang masih belum memiliki kesadaran tinggi untuk menjaga kebersihan saluran drainase sehingga tidak berfungsi maksimal. Selain itu kebiasaan warga menggunakan air bawah tanah yang tidak terkontrol telah memperburuk terjadinya land subsidence yang memperparah banjir. Banjir telah merusak fasilitas umum dan rumah warga, serta telah mematikan berbagai tanaman dan tumbuhan yang ada. Desa menjadi minim penghijauan. Tujuan dari kegiatan pengabdian masyarakat ini adalah untuk mengajak warga melakukan penghijauan sekaligus memberikan informasi dan mengedukasi warga mengenai pentingnya menjaga lingkungan melalui kampanye komunikasi lingkungan dengan media tanaman. Evaluasi keberhasilan program dilakukan melalui diskusi yang melibatkan ibu-ibu anggota arisan. Dimana hasilnya menunjukkan bahwa secara umum warga telah menunjukkan perubahan sikap sampai pada tahap konatif, tetapi belum menunjukkan perubahan perilaku sebagaimana yang diarapkan.Karangjompo village in Tirto sub-district is one of the villages in Pekalongan Regency that has been affected by flooding for more than 5 years. One of the causes of flooding is the bad behavior of the residents who still do not have high awareness to keep the drainage channels clean so that they do not function optimally. In addition, the uncontrolled habit of using underground water has led to land subsidence which has exacerbated flooding. The floods have damaged public facilities and residents' homes, and have killed various existing plants. The village has minimal greening. The purpose of this community service is to persuade residents to replant as well as inform and educate them about the importance of protecting the environment through a communication campaign with potted plants as media. Evaluation is carried out through discussions involving housewives who are members of arisan. The result was shows that society has changes in their attitudes to the conative stage, but has not shown in behavioral changes as expected.
Dietary Melatonin and Omega-3 Fatty Acids Induce Human Cancer Xenograft Regression In Vivo in Rats by Suppressing Linoleic Acid Uptake and Metabolism
Authors: Dauchy Erin M , Dauchy Robert T , Tirrell Robert P , Davidson Leslie K , Hill Steven M , Sauer Leonard A , Blask David E
Published: June 2021

Melatonin, the circadian nighttime neurohormone, and eicosapentaenoic acid (EPA) and docosahexaenoic acids (DHA), which are omega-3 fatty acids (FA) found in high concentrations in fish oil (FO) and plants, abrogate the oncogenic effects of linoleic acid (LA), an omega-6 FA, on the
growth of rodent tumors and human breast, prostate, and head and neck squamous cell carcinoma (HNSCC) xenografts in vivo. Here we determined and compared the long-term effects of these inhibitory agents on tumor regression and LA uptake and metabolism to the mitogenic agent 13-[S]-hydroxyoctadecadienoic
acid (13-[S]-HODE) in human prostate cancer 3 (PC3) and FaDu HNSCC xenografts in tumor-bearing male nude rats. Rats in this study were split into 3 groups and fed one of 2 diets: one diet containing 5% corn oil (CO, high LA), 5% CO oil and melatonin (2 μg/mL) or an alternative diet 5% FO
(low LA). Rats whose diet contained melatonin had a faster rate of regression of PC3 prostate cancer xenografts than those receiving the FO diet, while both in the melatonin and FO groups induced the same rate of regression of HNSCC xenografts. The results also demonstrated that dietary intake
of melatonin or FO significantly inhibited tumor LA uptake, cAMP content, 13-[S]-HODE formation, [3H]-thymidine incorporation into tumor DNA, and tumor DNA content. Therefore, long-term ingestion of either melatonin or FO can induce regression of PC3 prostate and HNSCC xenografts
via a mechanism involving the suppression of LA uptake and metabolism by the tumor cells.
Edwardsiella ictaluri in a Colony of Zebrafish (Danio rerio) Used in a Teaching Laboratory
Authors: Sun Francis J , Crim Marcus J , Leblanc Mathias
Published: June 2021

A small colony of zebrafish (Danio rerio) experienced 30% acute mortality within a few days after receipt from a commercial source. A few fish presented with small areas of raised scales or tissue necrosis, primarily near the caudal peduncle. Edwardsiella ictaluri (E.
ictaluri) was identified by real-time PCR of pooled zebrafish and swabs of the pre-filter and fine filter pads, with subsequent sequence analysis. E. ictaluri is most commonly associated with an enteric septicemia in catfish species and can have significant economic impact
on commercial catfish fisheries. However, several references report naturally occurring E. ictaluri infection of nonictalurid fishes, including zebrafish. Ours is the first report demonstrating the use of environmental sampling to identify E. ictaluri in a zebrafish colony
by real-time PCR. Moreover, our report indicates that E. ictaluri is a relevant disease for institutions using zebrafish as research species and emphasizes the importance of carefully considering importation and quarantine practices.
El valor del paisaje patrimonial bodeguero. El caso de Sanlúcar de Barrameda
Authors: Arnet Callealta Virginia
Published: June 2021

El texto aborda la recuperación de entornos industriales desde una perspectiva centrada en la influencia, que tanto el paisaje natural como la actividad productiva, tienen en la configuración de la imagen identitaria contemporánea de las ciudades intermedias. Se profundiza en el caso de estudio de Sanlúcar de Barrameda para apoyar la hipótesis de que los antecedentes paisajísticos e industriales de un determinado territorio son los encargados de constituir sus desafíos y oportunidades futuras
A STUDY ON THE SOCIAL NETWORK ANALYSES OF DIVE CENTERS AND SUSTAINABLE TOURISM DEVELOPMENT IN PEMUTERAN BALI, INDONESIA
Authors:   Universitas Gadjah Mada, Faculty of Geography, Master Program in Planning and Management of Coastal and Watershed, Yogyakarta, Indonesia, NAJA Danis Arbabun , SUPRAYOGI Slamet ,   Universitas Gadjah Mada, Department of Environmental Geography, Faculty of Geography, Yogyakarta, Indonesia, MARFAI Muh Aris ,   Universitas Gadjah Mada, Department of Environmental Geography, Faculty of Geography, Yogyakarta, Indonesia, MARDIATNO Djati ,   Universitas Gadjah Mada, Department of Environmental Geography, Faculty of Geography, Yogyakarta, Indonesia
Published: June 2021

The increasing interest of tourists over the last few decades in the Pemuteran Tourism Area has become a major challenge in its management and sustainability. The dive centers located in this area offer business services such as diving and snorkeling, which are the leading tourism activities in Pemuteran. These centers also experience various changes that are related to business operations and conservation strategies. This study aims to (1) determine the characteristics of these centers in the Pemuteran marine tourism area, (2) analyze the network pattern between these centers in these areas, and (3) formulate a sustainable tourism developmental strategy. In addition, the study made use of a descriptive and qualitative research method. The data used was collected through semi-structured census interviews on the entire population of the dive centers in the Pemuteran marine tourism area. The results show that the collaboration network between dive centers in Pemuteran is a centralized collaboration. Furthermore, this collaboration occured in both operational and conservational activities. The nationality of the owner and the year in which the centers were established, are factors that influence the collaboration of dive centers in Pemuteran. Conclusively, optimizing the role of the government, and the involvement of local communities around Pemuteran is an important task needed in developing sustainable Pemuteran diving tourism.
A MODEL OF FACTORS AFFECTING DOMESTIC TOURIST SATISFACTION ON ECO-TOURISM SERVICE QUALITY IN THE MEKONG DELTA, VIETNAM
Authors:   Faculty of Air Transport, Vietnam Aviation Academy, Ho Chi Minh City 700000, Vietnam, GIAO Ha Nam Khanh , VUONG Bui Nhat ,   Faculty of Air Transport, Vietnam Aviation Academy, Ho Chi Minh City 700000, Vietnam, PHUONG Nguyen Ngoc Duy ,   International University - Vietnam National University, Ho Chi Minh City 700000, Vietnam, DAT Ngo Tan ,   Faculty of Air Transport, Vietnam Aviation Academy, Ho Chi Minh City 700000, Vietnam
Published: June 2021

The objective of the present study is to explore the factors affecting domestic tourists’ satisfaction with the quality of ecotourism services. Survey data collected from 457 visitors visiting Mekong Delta, Vietnam were analyzed to provide evidence. Results from multiple regression analysis using SPSS software have determined that Food and beverage Shopping & entertainment services, Perceived price, Nature destination landscape, Security and Safety, Transportation had positive associations with domestic travelers’ satisfaction. Besides, this research also showed that female tourists tend to be more satisfied than male tourists. The main findings of this study provide practical implications for travel agencies and tourism managers. It implies that they should improve these factors in order to maintain and enhance domestic tourist satisfaction with the quality of ecotourism services in Mekong Delta, Vietnam.
ACCRUED FORECASTING ON TOURIST’S ARRIVAL IN BANGLADESH FOR SUSTAINABLE DEVELOPMENT
Authors:   Universiti Sains Malaysia, School of Mathematical Sciences, Penang, Malaysia. Mawlana Bashani Science and Technology University, Department of Statistics, Tangail, Bangladesh, HOSSEN Sayed Mohibul , ISMAIL Mohd Tahir ,   Universiti Sains Malaysia, School of Mathematical Sciences, Penang, Malaysia, TABASH Mosab I. ,   Al Ain University, College of Business, Al Ain, United Arab Emirates, ABOUSAMAK Ahmed ,   Al Ain University, College of Business, United Arab Emirates and Suez Canal University, Egypt
Published: June 2021

Forecasting of potential tourists’ appearance could assume a critical role in the tourism industry, arranging at all levels in both the private and public sectors. In this study our aim to build an econometric model to forecast worldwide visitor streams to Bangladesh. For this purpose, the present investigation focuses on univariate Seasonal Autoregressive Integrated Moving Average (SARIMA) modeling. Model choice criteria were Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), and Mean Squared Error (RMSE). As per descriptive statistics, the mean appearances were 207012 and will be 656522 (application) every year. Mean Absolute Deviation and Mean Squared Deviation likewise concurred with MAPE, MAE, and MSE. The result reveals that for sustainable development the SARIMA model is the reasonable model for forecasting universal visitor appearances in Bangladesh.
Human resource management–research performance linkage in higher education institutions
Authors: Jaškiene Jolanta , Buciuniene Ilona
Published: June 2021

Research performance enhancement has become a greater issue in recent decades. However, studies analyzing the determinants of research performance and identifying human resource management (HRM) practices that improve research performance have been few and inconsistent. This paper overviews the factors affecting research performance and responds to calls for HRM practices that are customized for research and higher education institutions (HEIs). The paper is based on a theoretical HRM-performance linkage and aims to identify research performance measures, define scholars’ skills, abilities, research-oriented attitudes, and behaviors related to research performance, and generate bundles of abilities, motivation, and opportunities enhancing HRM practices associated with research performance. Finally, a theoretical framework for the HRM–research performance chain is developed.
Nutritional status of patients with celiac disease in Oran pediatric clinic
Authors:   Laboratoire de Nutrition Clinique et Métabolique, Université Oran 1 Ahmed Ben Bella BP 1524, 31 000 Oran, Algérie, KADDOUR Farah , MAHDAD Nadia , LATROCH Charef , BOUZIANE NEDJADI Karim , BOUCHENAK Malika ,   Service de Pédiatrie Amilcar Cabral, CHU-Oran, Oran, Algérie
Published: June 2021

Introduction Celiac disease (CD) is an enteropathy that requires a gluten-free diet (GFD), a restriction often generating nutritional imbalances Objective. to assess the nutritional status of a pediatric CD population. Population and methods. Among 84 CD patients recruited, 64 were retained (37 F/27M) and aged 1-<17 years old (1-<5 y (n=24), 5-<10 y (n=17), and 10-<17 y (n=23)). The anthropometric measurements, parents education level and profession were collected. Eating habits, GFD quality, daily energy expenditure (DEE) were evaluated. Food consumption was estimated by a 24 hour recall, followed by a 3 day record. Results were compared to the recommended intakes (RI). Results. Nine % of 1-<5 y CD were thin, and 19% were overweight/obese. Significant improvement of body mass index (BMI) z-score was noted in CD girls (p<0.0001), and boys (p<0.01), after GFD. Non-existent breakfast was noted in 23% of children and 22% of adolescents. Sugary drinks consumption was observed in 38% of 1-<5 y infants, and snacking was found in 79% of them, as well as, in half of 5-<10 y, and 10-<17 y population. Twenty six % of adolescents had GFD voluntary deviations. Energy balance (total energy intake (TEI) - DEE) was positive in 5-<10 y, and negative in 10-<17 y. In all CD population, breakfast energy intake was lower than RI, but was important for snack time, also during morning snack in 1-<5 y and 5-<10 y infants. Simple carbohydrates and saturated fatty acids intakes were higher than RI, and iron and vitamin (Vit.) D deficiency was noted in CD population. Adolescents had low calcium and zinc intakes. Conclusion. The studied CD pediatric population presents some nutritional imbalances, requiring a dietary monitoring.
Inclusión financiera en Argentina: un estudio por hogares
Authors: Orazi Sofía , Martínez Lisana Belén , Vigier Hernán Pedro
Published: June 2021

El uso de servicios financieros mejora las posibilidades de ahorro, de acceso a bienes y servicios, para la salud, educación o vivienda, mejora el acceso al crédito, y por ende, aumenta los niveles de inversión y productividad de los hogares, de emprendimientos y empresas. En base a la Encuesta Nacional sobre la Estructura Social (ENES), realizada en 339 aglomerados urbanos de Argentina durante el año 2015, se analizan los determinantes de la inclusión financiera de los hogares. Se consideran variables vinculadas con el empleo y perfil del principal sostén del hogar, los ingresos familiares y otros aspectos relevantes. A través de métodos estadísticos se analiza si estas últimas variables influyen en la probabilidad de inclusión financiera de los hogares (medida a través de la tenencia de cuenta bancaria, tarjeta de crédito y el haber obtenido un crédito en los últimos 5 años). Los test estadísticos demuestran que la formalidad del empleo, el nivel de ingresos y educación del principal sostén del hogar son variables significativas sobre la probabilidad de encontrarse incluido en términos financieros, no así el género, a excepción de la tenencia de tarjetas de crédito. La edad es una variable significativa pero en términos no lineales. A su vez, se corrobora la probabilidad marginal de tres perfiles de hogares, según las principales variables determinantes, para cuantificar las brechas existentes.
La reputación de dominio como mecanismo de adquisición del derecho real en la provincia de Corrientes
Authors: Gapel Redcozub Guillermo Rafael
Published: June 2021

La reputación de dominio es un procedimiento administrativo regulado en la Ley Nº 6042 “Ley Orgánica de las Municipalidades” de la Provincia de Corrientes que tiene por fin inmediato la adquisición del derecho real de dominio sobre un inmueble que carece de dueño, a favor de un Estado Municipal, con fundamento central en el actual art. 236 del Código Civil y Comercial. En el presente trabajo se describirá su regulación legal, con sus condiciones de procedencia, y se trazan relaciones con otras figuras con las que comparte finalidad, fundamentalmente con la acción declarativa de abandono y con acción de vacancia sucesoria, avanzando con un análisis de sus ventajas y de sus limitaciones, y concluyendo en que el mecanismo no puede emplearse para violar la propiedad privada o comunitaria(mucho menos de los grupos vulnerables) ni para evadir los procesos judiciales que son indispensables para el ejercicio de la correcta atribución de dominio.
Conocimientos financieros previos y su relación con el rendimiento académico de estudiantes universitarios en matemática financiera
Authors: Ficco Cecilia , Musa Patricia
Published: June 2021

La investigación que presentamos a través de este artículo se enmarca dentro de la perspectiva de investigación del rendimiento académico de los estudiantes, y tiene un doble objetivo. Por un lado, conocer el nivel de conocimiento de temas financieros que poseen nuestros alumnos al iniciar el cursado de “Matemática Financiera y Actuarial” (MFyA) y, por otro, analizar la relación entre esos conocimientos previos y el rendimiento académico que logran en dicho espacio curricular. La investigación se realiza con estudiantes de MFyA, del Instituto Académico Pedagógico de Ciencias Sociales de la Universidad Nacional de Villa María, que cursaron la asignatura en el primer cuatrimestre de 2020. En lo que respecta a los conocimientos financieros previos de los estudiantes, los resultados obtenidos revelan un nivel de conocimiento medio. Los conceptos financieros de inflación, valor tiempo del dinero e interés simple son aquellos sobre los que se evidencia una mayor comprensión. En cambio, se detecta un bajo nivel de conocimiento sobre productos financieros y su adecuada utilización y sobre la tasa de interés que se debe considerar en la toma de decisiones de financiación. Los resultados del análisis correlacional muestran una relación significativa y positiva entre los conocimientos financieros previos de los estudiantes en MFyA y su rendimiento académico en la asignatura. No obstante, dicha relación es débil, aunque la magnitud de la correlación es semejante a la obtenida en los estudios previos que logran constatar la relación positiva entre conocimientos previos y rendimiento de los estudiantes universitarios.
Kesehatan mental mahasiswa ditinjau dari two continua model: Pengujian multiple analysis of variance
Authors: Deasyanti Deasyanti , Muzdalifah Fellianti
Published: June 2021

Abstract University student’s mental health has to get more attention because they are more vulnerable in suffering psychological problems compared to general population. The aim of this study is to figure out the prevalence of mental health status of students using the two continua model. Mental health symptoms were measured by the MHC-LF that comprised emotional well-being (?= 0,843), psychological well-being (?= 0,807), and social well-being (?= 0,831); whereas psychological distress was identified using the HSCL-25 that measured anxiety (?= 0,910) and depression (?= 0,890).  A total of 514 undergraduate students was involved using convenience sampling. The descriptive statistics showed that students are categorised as flourishing 32,10%, moderate mentally healthy 65,95%, and languishing 1,95%.  Moreover, the MANOVA test statistics found that there is a significant difference in levels of depression and anxiety between flourishing, moderate mentally healthy and languishing.  This study implies that the university should provide the mental health intervention to help students in dealing with psychological distress, and to increase their mental health into flourishing.Keywords: Mental health; Psychological distress; Two continua model; University student. AbstrakIsu kesehatan mental di kalangan mahasiswa perlu mendapat perhatian karena mahasiswa merupakan kelompok populasi yang rentan mengalami masalah psikologis. Dengan menggunakan pendekatan two continua model, penelitian ini bertujuan untuk mengetahui prevalensi tipe kesehatan mental mahasiswa. Indikator sehat mental diukur melalui kuesioner Mental Health Continuum-Long Form yang terdiri dari 3 skala: emotional well-being (?= 0,843), psychological well-being (?= 0,807), dan social well-being (?= 0,831).  Indikator psikopatologis diukur menggunakan skala Hopkins Symptom Check List-25 yang terdiri dari skala kecemasan (?= 0,910) dan skala depresi (?= 0,890). Sebanyak 514 mahasiswa menjadi responden dalam penelitian ini menggunakan teknik sampling convenience. Dengan analisis statistik deskriptif diketahui 32.10% mahasiswa termasuk dalam kategori sehat mental flourishing, 66,95% moderate mentally healthy dan 1,95% languishing. Uji statistik MANOVA menemukan perbedaan tingkat kecemasan dan depresi antara kelompok sehat mental yang berbeda. Implikasi hasil penelitian ini terkait dengan program intervensi kesehatan mental mahasiswa yang bersifat kuratif, protektif, maupun promotif untuk meningkatkan keberfungsian psikologis secara lebih optimal. Kata kunci: Distres psikologis; Mahasiswa; Sehat mental; Two Continua Model
EVOLUTION OF THE URBAN WASTE MANAGEMENT SYSTEM IN THE EMILIA-ROMAGNA REGION
Authors: Magrini Chiara , Biagini Giovanni , Bellaera Francesca , Palumbo Leonardo , Bonoli Alessandra
Published: June 2021

This multidisciplinary study aims to analyse how the urban waste management system has changed in the Italian region of Emilia-Romagna, during the decade in which a single regional regulatory unit, the Emilia-Romagna Territorial Agency for Water and Waste Services (ATERSIR), was established and became operational, and the waste management planning was centralized at regional level. Particularly, the following changes have been analysed: i) the methods of municipal waste management (WM), considering waste generation, separate waste collection and waste treatment; ii) the costs of WM service, with a focus on cost of treatment and disposal of unsorted waste; and iii) the urban solid WM policies, in terms of levels of governance, territorial planning and implementation of policies on the regional territory. The period within which the analysis was carried out covers the years from 2008 to 2018, comparing two time frames, before and after ATERSIR establishment. Data at municipal level were gathered and analysed. The results of the technical, economical and institutional assessment show that relevant benefits occurred, such as a constant improvement of environmental performances, the optimisation of the waste flows to plants, a higher level of uniformity of WM cost among Municipalities and a better quality of data collected from waste providers for the technical and economic regulation of the sector. Potential improvements are identified, whilst the institutional reform is positively evaluated in all the analysed aspects.
DETECTING CONTAMINANTS IN POST-CONSUMER PLASTIC PACKAGING WASTE BY A NIR HYPERSPECTRAL IMAGING-BASED CASCADE DETECTION APPROACH
Authors: Bonifazi Giuseppe , Gasbarrone Riccardo , Serranti Silvia
Published: June 2021

Recycling of post-consumer packaging wastes involves a complex chain of activities, usually based on three main stages, that is: i) collection from households or recovery from Municipal solid waste (MSW), ii) sorting and, finally, iii) mechanical recycling. The systematic identification of impurities inside plastic packaging waste streams, and the assessment of the different occurring materials, can be considered as one of the key issues to certify and to classify waste materials fed to recycling plants and to perform a full control of the resulting processed fractions and byproducts, that have to comply with market demands. The utilization of a Near InfraRed (NIR) – HyperSpectral Imaging (HSI) based methods, along with chemometrics and machine learning techniques, can fulfill these goals. In this paper, the HSI-based sorting logics, to apply, to implement and to set up to perform an automatic separation of paper, cardboard, plastics and multilayer packaging are investigated.
VALORIZATION OF RARE EARTH ELEMENTS FROM END-OF-LIFE FLUORESCENT LAMPS: A CONTRIBUTION TO URBAN MINING
Authors: Bonoli Alessandra , Boninsegni Werter , Foschi Eleonora
Published: June 2021

In last decades, Rare Earth Elements (REEs) have assumed a fundamental importance in the electrical and electronic (EE) industry because of the increasing interest in low-carbon and smart technologies. The availability in limited areas of the globe, the complexity in extraction processes and the high costs affecting their valorization negatively influence the supply chain at such a point to jeopardize the future EE equipment offer. This issue is particularly acute in Europe, that imports all REEs, especially from China, the current leader of the market. In order to contrast that dependence and ensure a stable future demand, industrial stakeholders have started an innovative path aimed to recover REEs from EEE waste. The promotion of policies and measures or circular economy has also boosted the application of urban mining concept. Cities are conceived as reserve of minerals but applied research s still in its infancy. Only 1% of REEs is actually recovered. The contribution of the fluorescent lamps is the most challenging lower because of the presence of hazardous substances, however, it can deliver the highest pure rare-earth oxides. This work represents a preliminary multi-criteria analysis aimed to assess the feasibility of launching an urban mining project based on the valorization of REEs from fluorescent lamps. The article summarizes the activity done by the Italian WEEE company DISMECO in collaboration with the University of Bologna to test the valorization of fluorescent lamps powders and provide recommendations to a more profitable after-use economy in this field.
Aducanumab for Alzheimer's disease: An update
Authors: Retinasamy Thaarvena , Shaikh Mohd. Farooq
Published: June 2021

The US FDA approved Aducanumab in June 2021 as the first Alzheimer's disease (AD) drug under its accelerated approval pathway. It has given some hope to patients suffering from AD around the world. Aducanumab is an antibody that targets one of the well-known key culprits of this disease, known as amyloid-beta (Aβ). The journey of Aducanumab was bumpy, and there are controversies around the rapid approval of this drug AD treatment. This article highlights the potential of Aducanumab in AD, its mode of action and controversies around it.
Common Fixed Point Theorem for Hybrid Pair of Mappings in a Generalized $(F,\xi,\eta)$-contraction in weak Partial $b$- Metric Spaces with an Application
Authors: WANGWE Lucas , KUMAR Santosh
Published: June 2021

In the present paper, we proved a common fixed-point theorem for two-hybrid pair of non-self mappings satisfying a generalized $(F, \xi, \eta) $- contraction condition under joint common limit range property in weak partial $b$- metric spaces. Our result is a generalization of many works available in metric space setting. An example and application to the integral equation are given to support the results proved in this paper.