bluuebunny/crossref_metadata_2025_split huggingface dataset:
Community Perception of the Development of Productive Landscape in Yogyakarta City
Authors: Raya Alia Bihrajihant , Irwan Siti Nurul Rofiqo , Utami Retno Nur , Sarwadi Ahmad 
Published: September 2020

This research seeks to identify the potential of local community to support the development of productive landscape in Yogyakarta City. It hypothesizes the important roles of ecological perception, aesthetical perception, economics perception of productive plant, social-cultural perception, the role of social organization and the status of house ownership that would assist productive landscape development. This paper contributes to the importance of productive landscape development through community participation. The road/street location was chosen with purposive sampling by considering the characteristics of the arterial roads and local streets. Five arterial roads and five local streets were determined as the locations. The field survey method, with semi-structured questionnaires, was employed to obtain the primary data. The residences in arterial roads and local streets were selected by the linear systematic random sampling and the respondents participating in this study were 160 persons. The results have shown that the perception of residents depends on the experiences of their situation. The majority of residents have disclosed the low response on economical perception of productive landscape development in the greenery. The development of productive landscape is influenced by the ecological, aesthetical and socio-cultural perceptions of the residents living nearby the arterial roads. Meanwhile, the residents of local streets have a different perception of productive landscape development, which is influenced by ecological and aesthetical perceptions. The collaboration between government and community should be made to develop the efforts to grow and manage the vegetations along the roadsides of the city.
METODE SOSIODRAMA UNTUK MENINGKATKAN KETERAMPILAN BERBICARA PADA ANAK USIA 5-6 TAHUN
Authors: Fauziah Zazin , Wahyuningsih Siti , Hafidah Ruli 
Published: September 2020

<p>Penelitian ini bertujuan untuk meningkatkan keterampilan berbicara pada anak usia 5-6 tahun melalui metode sosiodrama. Penelitian ini merupakan penelitian tindakan kelas yang dilaksanakan dalam tiga siklus, setiap siklus terdiri dari empat tahap yaitu perencanaan, tindakan, observasi, dan refleksi. Teknik pengempulan data yang digunakan yaitu observasi, wawancara, dan dokumentasi. Uji validitas data menggunakan triangulasi sumber dan triangulasi teknik. Teknik analisis data kuantitatif menggunakan analisis data komparatif, sedangkan analisis data kualitatif menggunakan analisis model interaktif. Hasil penelitian menunjukkan bahwa terdapat peningkatan pada keterampilan berbicara yaitu persentase ketuntasan pada pratindakan sebesar 38%, siklus 1 sebesar 42,8%, siklus 2 sebesar 61,9%, dan siklus 3 sebesar 81%. Peningkatan tersebut dibuktikan dengan keberhasilan anak dalam keterampilan berbicara pada aspek ketepatan ,kata, ketepatan kalimat dan kelancaran berbicara. Berdasarkan paparan diatas, dapat disimpulkan bahwa penerapan metode sosiodrama dapat meningkatkan keterampilan berbicara pada anak usia 5-6 tahun.</p>
Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2020
Authors: Hayashi Haruo , Misumi Ryohei 
Published: September 2020

We are very pleased to publish the Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2020. There are nine papers in this issue.
The first two papers concern hazard and risk information systems: Sano et al. constructed a real-time risk information map for flood and landslide disasters, and Hirashima et al. created an alert system for snow removal from rooftops. These systems are already in use on the NIED website. The next three papers are case studies of recent storm disasters in Japan and the United States: Cui et al. analyzed the time variation in the distribution of damage reports in the headquarters for heavy-rainfall disaster control in Fukuoka, Shakti et al. studied flood disasters caused by Typhoon Hagibis (2019), and Iizuka and Sakai conducted a meteorological analysis of Hurricane Harvey (2017). Regarding volcanic disasters, Tanada and Nakamura reported the results of an electromagnetic survey of Mt. Nasudake.
This special issue also includes three papers on large-scale model experimentation: Danjo and Ishizawa studied the rainfall infiltration process using NIED’s Large-Scale Rainfall Simulator, Kawamata and Nakazawa conducted experiments concerning liquefaction, and Nakazawa et al. reported the results of experiments on seismic retrofits for road embankments. The experiments used E-Defense, the world’s largest three-dimensional shaking table.
We hope this issue will provide useful information for all readers studying natural disasters.
PENGARUH HARGA SAHAM, RETURN ON EQUITY, DAN KAPITALISASI BIAYA TERHADAP INCOME SMOOTHING
Authors: Armeliza Diah 
Published: September 2020

Penelitian ini memiliki tujuan untuk menguji pengaruh harga saham, return on equity dan kapitalisasi biaya terhadap income smoothing pada sub-sektor perkebunan yang terdaftar di Bursa Efek Indonesia. Periode penelitian adalah lima tahun yaitu tahun 2014-2018. Penelitian menggunakan data sekunder berupa laporan keuangan dari Bursa Efek Indonesia (BEI). Sampel penelitian adalah perusahaan-perusahaan yang terdaftar dalam Sektor Pertanian Sub Sektor Perkebunan secara berturut-turut pada periode 2014-2018. Teknik penelitian menggunakan metode purposive sampling dengan banyaknya sampel sebesar 32. Teknik analisis data menggunakan regresi linier berganda dengan taraf signifikansi sebesar 5%.
Hasil penelitian menunjukkan bahwa harga saham dan return on equity tidak berpengaruh terhadap praktik income smoothing. Sedangkan kapitalisasi biaya berpengaruh terhadap praktik income smoothing yang diproksikan dengan menggunakan indeks eckel.
An effective frequency-domain feature of atrial fibrillation based on time-frequency analysis
Authors: Hu Yusong , Zhao Yantao , Liu Jihong , Pang Jin , Zhang Chen , Li Peizhe 
Published: September 2020

Abstract
Background: Atrial fibrillation is a type of persistent arrhythmia that can lead to serious complications. Therefore, accurate and quick detection of atrial fibrillation by surface electrocardiogram has great importance on further treatment. The practical electrocardiogram signals contain various interferences in different frequencies, such as myoelectricity interference, power interference and so on. Detection speed and accuracy largely depend on the atrial fibrillation signal features extracted by the algorithm. But some of the discovered atrial fibrillation features are not well distinguishable, resulting in poor classification effect. Methods: This paper proposed a high distinguishable frequency feature - the frequency corresponding to the maximum amplitude in the frequency spectrum. We used the R-R interval detection method optimized with the mathematical morphology method and combined with the wavelet transform method for analysis. According to the two features - the maximum amplitude in the frequency spectrum and R-R interval irregular, we could recognize atrial fibrillation signals in electrocardiogram signals by decision tree classification algorithm. Results: The data used in the experiment come from the MIT-BIH database, which is publicly accessible via the web and with ethical approval and consent. Based on the input of time-domain and frequency-domain features, we classified sinus rhythm signals and AF signals using the decision tree generated by classification and regression tree (CART) algorithm. From the confusion matrix, we got the accuracy was 98.9%, sensitivity was 97.93% and specificity was 99.63%. Conclusions: The experimental results can prove the validity of the maximum amplitude in the frequency spectrum and the practicability and accuracy of the detection method, which applied this frequency-domain feature. Through the detection method, we obtained good accuracy of classifying sinus rhythm signals and atrial fibrillation signals. And the sensitivity and specificity of our method were pretty good by comparison with other studies.
DHA supplementation improves behavioral memory impairment and alleviates oxidative stress in hippocampal caused by repeated anesthesia of sevoflurane in aged rats
Authors: Tian Ming , Li Kezhong , Zhao Xiaoling 
Published: September 2020

Abstract
Backgroud: The current study aimed to explore the effects of docosahexaenoic acid (DHA) on the behavioral memory impairment induced by repeated anesthesia of sevoflurane in aged rats. Methods: A total of 54 Sprague‑Dawley (SD) aged rats were randomly divided into five groups: Blank control group (Control), sevoflurane group (Model), DHA group (3g/kg), Sev + DHA (0.3g/kg) group, Sev + DHA (1g/kg) group and Sev + DHA (3g/kg) group. Morris water maze experiment was used to evaluate the learning and memory ability. Hematoxylin and eosin (H&E) staining was used to observe histological changes in the hippocampus. Enzyme linked immunosorbent assay (ELISA) was used to detect the content of superoxide dismutase (SOD), malondialdehyde (MDA) and glutathione peroxidase (GSH-Px) in hippocampus. Immunohistochemistry and western blot analysis were used to determine the expression of the Nuclear factor erythroid-2 (NF-E2)-related factor 2(Nrf2)/ hemeoxygenase-1 (HO-1) signaling pathway. Results: Rats were indicated to exhibit prolonged escape latency following sevoflurane anesthesia. The number of times taken to cross the platform and the time for target quadrant stay were also demonstrated to be significantly reduced. Rats treated with different doses of DHA were revealed to exhibit reduced escape latency. The number of times taken to cross the platform and the time for target quadrant stay increased. Histopathological examination indicated that DHA ameliorated the brain function of the rats that were repeatedly anesthetized using sevoflurane. Furthermore, the expression of Nrf2 and HO-1 protein were demonstrated to be significantly increased. Conclusions: The present study revealed that DHA has a protective effect on learning and memory impairment in aged rats induced by repeated sevoflurane anesthesia, and the mechanism may be associated with the Nrf2/HO-1 signaling pathway.
Genome mining and UHPLC–QTOF–MS/MS to identify the potential antimicrobial compounds and determine the specificity of biosynthetic gene clusters in Bacillus subtilis NCD-2
Authors: Su Zhenhe , Chen Xiuye , Liu Xiaomeng , Guo Qinggang , Li Shezeng , Lu Xiuyun , Zhang Xiaoyun , Wang PeiPei , Dong Lihong , Zhao Weisong , Ma Ping 
Published: September 2020

Abstract
Background: Bacillus subtilis strain NCD-2 is an excellent biocontrol agent against plant soil-borne diseases and shows broad-spectrum antifungal activities. This study aimed to explore some secondary metabolite biosynthetic gene clusters and related antimicrobial compounds in strain NCD-2. An integrative approach combing genome mining and structural identification technologies using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight tandem mass spectrometry (UHPLC-MS/MS), was adopted to interpret the chemical origins of metabolites with significant biological activities.Results: Genome mining revealed nine gene clusters encoding secondary metabolites with predicted functions, including fengycin, surfactin, bacillaene, subtilosin, bacillibactin, bacilysin and three unknown products. Fengycin, surfactin, bacillaene and bacillibactin were successfully detected from the fermentation broth of strain NCD-2 by UHPLC-QTOF-MS/MS. The biosynthetic gene clusters of bacillaene, subtilosin, bacillibactin, and bacilysin showed 100% amino acid sequence identities with those in B. velezensis strain FZB42, whereas the identities of the surfactin and fengycin gene clusters were only 83% and 92%, respectively. Further comparison revealed that strain NCD-2 had lost the fenC and fenD genes in the fengycin biosynthetic operon. The biosynthetic enzyme-related gene srfAB for surfactin was divided into two parts. Bioinformatics analysis suggested that FenE in strain NCD-2 had a similar function to FenE and FenC in strain FZB42, and that FenA in strain NCD-2 had a similar function to FenA and FenD in strain FZB42. Five different kinds of fengycins, with 26 homologs, and surfactin, with 4 homologs, were detected from strain NCD-2. To the best of our knowledge, this is the first report of a non-typical gene cluster related to fengycin synthesis.Conclusions: Our study revealed a number of gene clusters encoding antimicrobial compounds in the genome of strain NCD-2, including a fengycin synthetic gene cluster that might be unique by using genome mining and UHPLC–QTOF–MS/MS. The production of fengycin, surfactin, bacillaene and bacillibactin might explain the biological activities of strain NCD-2.
Nondestructive estimation of potato yield using relative variables derived from multi-period LAI and hyperspectral data based on weighted growth stage
Authors: Luo Shanjun , He Yingbin , Li Qian , Jiao Weihua , Zhu Yaqiu , Zhao Xihai 
Published: September 2020

Abstract
Background: The accurate estimation of potato yield at regional scale is crucial for food security, precision agriculture and agricultural sustainable development. Methods: In this study, we developed a new method using multi-period relative vegetation indices (rVIs) and relative leaf area index (rLAI) data to improve the accuracy of potato yield estimation based on the weighted growth stage. Two experiments of field and greenhouse (water and nitrogen fertilizer experiments) in 2018 were performed to obtain the spectra and LAI data of the whole growth stage of potato. Then the weighted growth stage was determined by three weighting methods (improved analytic hierarchy process method, IAHP; entropy weight method, EW; and optimal combination weighting method, OCW) and the Slogistic model. A comparison of the estimation performance of rVI-based and rLAI-based models with a single and weighted stage was completed. Results: The results showed that among the six test rVIs, the relative red edge chlorophyll index (rCI red edge ) was the optimal index of the single-stage estimation models with the correlation with potato yield. The most suitable single stage for potato yield estimation was the tuber expansion stage. For weighted growth stage models, the OCW-LAI model was determined as the best one to accurately predict the potato yield with an adjusted R 2 value of 0.8333, and the estimation error about 8%. Conclusion: This study emphasizes the importance of inconsistent contributions of multi-period or different types of data to the results when they are used together, and the weights need to be considered.
A predictive noise correction methodology for manufacturing process datasets
Authors: Oleghe Omogbai 
Published: September 2020

Abstract
In manufacturing processes, datasets intended for data driven decisions are majorly generated from time-sequenced sensor readings. Industrial sensor systems are prone to transmit inaccurate readings, which result in noisy datasets. Noisy datasets inhibit machine learning and knowledge discovery. Using a multi-stage, multi-output process dataset as an experimental case, this article reports a methodology for replacing erroneous sensor values with their predicted likely values. In the methodology, invalid values specified by process owners are first converted to missing values. Then, ReliefF algorithm is used to select the most relevant features to progress for prediction modelling, and also to boost the performance of the prediction model. A Random Forest classifier model is built to predict replacement values for the missing values. Finally, predicted values are inserted into the dataset to fill in the missing entries. With many attributes having a significant number of erroneous values, the invalid values replacement is done one attribute at a time. To do this systematically, the process flow direction and stages in the manufacturing process are exploited to partition the dataset into subsets for model building. The results indicate that the methodology is able to replace erroneous values with likely true values, to a very high degree of accuracy. There is a paucity of this type of methodology for dealing with invalid entries in process datasets. The methodology is useful for both missing and invalid value correction in process datasets. In the future, the plan is to inject the prediction models into streaming data to simultaneously enable erroneous value correction and predictive process monitoring in real-time.
Cyberbullying in Rabat area Morocco: A Middle School Student Survey
Authors: Miami Nezha , Belahcen Amina , Lahlou Laila , Abouqal Redouane , ouanass Abderrazzak 
Published: September 2020

Abstract
Background:Despite being a widely debated health issue in several countries around the globe, in Morocco there is still little research on this phenomenon of cyber bulling.To examine the occurrence of cyber bullying among students in middle schools in Rabat area and to discover risk factors among students’ cyberbullying profiles is the main purpose of the present study.Methods: The study that is a cross sectional one is based on a nameless self –report questionnaire about subjected cyber bullying in the course of the previous twelve months. Indeed, it was in16 middle –schools in the urban areas of Rabat that data were collected. Aged 12 to 16 years, a number of 1914 students took part in the survey.Seeking the interconnection between the cyber bulling groups and independent variables we used a Multinomial Logistic Regression.Results:Cyber bullying has been announced by 54,5%(n=1043) CI 95% (52,26-56,72) of the sample, of which 18,8%(n=360), being victims only, 11,7% (n=224) being perpetrators only, and 24,0% (n=459) being perpetrators/victims. But there wasn’t any important difference to be mentioned in profile between genders. Text messages and exclusion from internet groups were the most common genre of cyber bullying behavior. Concerning traditional bullying, the prevalence were 35% (n=669) of whom 16,4% (n=313) victims only, 7,6% (n=145) perpetrators only and 11%(n=211) perpetrators/victims. Our research showed that traditional bullying was the basic risk factor of cyber bullying. Conclusion:In brief cyber bullying is one of the most widely spread phenomenon among adolescents in middle schools in Rabat area. Being involved in traditional bullying is the main risk. Consequently, urgent is the need to take actions against it either to eradicate violence in schools or at least reduce it.
Mensural Hygiene Management in Schools of Oromia Region, Ethiopia
Authors: Kaba Mirgissa , Geletu Zelalem Adugna 
Published: September 2020

Abstract
Background: Management of menstruation as a biological occurrence for women of reproductive age and men’s role is determined by socio-cultural factors. There is dearth of evidence on men in general and boys support on menstrual hygiene and management. This study aims to identify school based menstrual hygiene and management interventions and the role of boys in Oromia region, Ethiopia.Method: The study was carried out in 2017-18 academic year in eight Oromia Development Association (ODA) supported public schools with sport for life interventions. Schoolboys and girls aged 12-15, parents and school teachers participated in the study. Focus Group Discussion with boys, girls, and key informant interviews with parents were completed. Data were transcribed and translated into English and themes were developed following the objectives. Interpretation and presentation of the findings were substantiated with quoted shared opinions. Result: Finding shows that after two years of school based sport for life intervention, study participants invariably recognized menstruation as a natural occurrence and is a blessing rather than a curse. Girls who used to shy and abstain from school for fear of bullying and teasing attended their classes regularly and became competitors in their academic performance. Common arguments by all participants alike show that ‘We learnt that menstruation is a mark of healthy growth of girls. The absence of it that should be the source of concern’ . With dedicated room and availability of water and sanitary napkin; and support from boys and schoolteachers and management of menstrual hygiene has improved at school level. Boys not only stopped teasing girls but also started contributing money to purchase sanitary napkins. Liaising such school level intervention with parents has extended support to girls at home level. Conclusion: School level non-curricular intervention that has involved not only students but also the school community and parents have brought fundamental change to the way menstruation was understood and its implications. Menstruation is no more a source of shame and reason to tease and bully girls with its far reaching implication on the school performance of girls. Further study using mixed method may help document specific changes and sustainability.
Hsa_circ_0004831 serves as a blood-based prognostic biomarker for colorectal cancer and its potentially circRNA-miRNA-mRNA regulatory network construction
Authors: Xing Linlin , Xia Mengyan , Jiao Xin , Fan Ling 
Published: September 2020

Abstract
Background: Colorectal cancer (CRC) is a common malignant tumor with unsatisfactory overall prognosis. CircRNAs could be promising prognostic biomarkers in cancers, and play important role in the process of tumorigenesis and progression. Here, we explored the role of hsa_circ_0004831 in blood extracellular vesicles and its prognostic value in CRC. Methods: The circRNA and mRNA expression level matrix in extracellular vesicles of CRC and normal samples were obtained from the exoRBase database. The corresponding miRNA expression level matrix in extracellular vesicles was downloaded from the BBCancer database. Differentially expressed circRNAs, miRNAs and mRNAs were identified using the limma package of R software at the cut-off criteria of fold change (FC) > 2 and adj. p < 0.05. RT-qPCR assay was conducted to measure hsa_circ_0004831 expression level in CRC blood samples. A circRNA-miRNA-mRNA regulatory network of hsa_circ_0004831 was constructed based on competitive endogenous RNA mechanism and differentially expressed genes. The mRNAs co-expressed with hsa_circ_0004831 were screened at the cut-off criteria of pearson |R| > 0.3 and p < 0.05. Gene set enrichment analysis (GSEA) based on co-expressed mRNAs was used to explore the potential molecular function of hsa_circ_0004831. Results: Differentially expressed circRNAs, miRNAs and mRNAs were identified and hsa_circ_0004831 had a FC value of 3.92 in CRC blood extracellular vesicles. The RT-qPCR assay showed that the hsa_circ_0004831 was up-regulated in CRC blood samples. The overall survival analysis found that high expression of hsa_circ_0004831 was linked with poorer prognosis. Finally, a circRNA-miRNA-mRNA regulatory network of hsa_circ_0004831 was constructed based on down-regulated miR-4326 and 12 up-regulated mRNAs. GSEA indicated that mRNAs co-expressed with hsa_circ_0004831 were involved in EMT, WNT and p53 signaling pathways.Conclusions: The study confirmed the up-regulation of hsa_circ_0004831 in CRC, and it may act as a vital prognostic biomarker. The circRNA-miRNA-mRNA regulatory network of hsa_circ_0004831 could be used to uncover the tumorigenesis and progression of CRC.