bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stress-Drop Scaling of the 2016 Gyeongju and 2017 Pohang Earthquake Sequences Using Coda-Based Methods
Authors: Chai Gyeongdon , Yoo Seung-Hoon , Rhie Junkee , Kang Tae-Seob 
Published: August 2020

ABSTRACT
Two M 5 earthquakes struck the southeastern Korean Peninsula in September 2016 and November 2017, causing damage near the epicentral areas. We analyze the stress-drop scaling of these two earthquake sequences using coda-based methods and Bayesian inversion. The 2016 Gyeongju earthquake sequence is a typical earthquake sequence generated by tectonic processes. In contrast, the 2017 Pohang earthquake sequence is believed to be related to fluid injections conducted for the development of enhanced geothermal systems. As the two sequences occurred in the same tectonic regime, our study provides a good opportunity to compare the stress-drop scaling between a tectonic earthquake sequence and an earthquake sequence influenced by fluid injections. We found that the stress drops of events in the Pohang sequence are lower than those of the Gyeongju sequence with similar magnitude. Although it is likely that this difference results from focal depth variations, a reduction of stress drop due to fluid injections cannot be ruled out.
Comparison and Combination of GNSS and Strong-Motion Observations: A Case Study of the 2016 Mw 7.0 Kumamoto Earthquake
Authors: Dahmen Nikolaj , Hohensinn Roland , Clinton John 
Published: August 2020

ABSTRACTThe 2016 Mw 7.0 Kumamoto earthquake resulted in exceptional datasets of Global Navigation Satellite Systems (GNSS) and seismic data. We explore the spatial similarity of the signals and investigate procedures for combining collocated sensor data. GNSS enables the direct observation of the long-period ground displacements, limited by noise levels in regimes of millimeters to several centimeters. Strong-motion accelerometers are inertial sensors and therefore optimally resolve middle- to high-frequency strong ground motion. The double integration from acceleration to displacement amplifies long-period errors introduced by tilt, rotation, noise, and nonlinear instrument responses and can lead to large nonphysical drifts. For the case study of the Kumamoto earthquake, 39 GNSS stations (1  samples/s) with nearby located strong-motion accelerometers (100  samples/s) are investigated. The GNSS waveforms obtained by precise point positioning under real-time conditions prove to be very similar to the postprocessed result. Real-time GNSS and nearby located accelerometers show consistent observations for periods between ∼3–5 and ∼50–100  s. The matching frequency range is defined by the long-period noise of the accelerometer and the low signal-to-noise ratio (SNR) of GNSS, when it comes to small displacements close to its noise level. Current procedures in fusing the data with a Kalman filter are verified for the dataset of this event. Combined data result in a very broadband waveform that covers the optimal frequency range of each sensor. We explore how to integrate fused processing in a real-time network, including event detection and magnitude estimation. Carrying out a statistical test on the GNSS records allows us to identify seismic events and sort out stations with a low SNR, which would otherwise impair the quality of downstream products. The results of this study reinforce the emerging consensus that there is real benefit to collocation GNSS and strong-motion sensors for the monitoring of moderate-to-large earthquakes.
Meslekte Kazanma Gücü Kaybı Oranı ve Engel Oranı Değerlendirmesinde Kullanılan Yönetmeliklerin Karşılaştırılması
Authors: Eroğlu İbrahim , Küpeli Ahmet 
Published: August 2020

The aim of this study was to emphasize the deficiencies of the scales under the regulation currently in use related to disability, to evaluate of the problems encountered by the experts according to the deficiencies, to draw attention to the necessity of a new regulation on international quality and to guide the new regulation. The disability reports which were prepared by Department of Forensic Medicine of … University Medical Faculty between years of 2015-2016 were evaluated. The disability reports of the disability cases prepared using “The Scales of Measurement of Disabilities” were evaluated, the impairments related with disability were recalculated by “The Scale of Disability Rates”, and the ratios obtained using both scales were compared. There were 94 impairments in 49 cases detected as disability, the orthopedic impairments came into prominence among all of the impairments. There was no statistical significant difference between the rates calculated for the impairments of pelvis-lower extremities, head, face, vertebra, abdomen and ear according to “The Scales of Measurement of Disabilities” and “The Scale of Disability Rates” (respectively; p:0.241, 0.117, 0.083, 0.285, ~1, 0.317). The ratios of upper extremity and eye impairments obtained using both scales had statistically significant differences (respectively; p:0.002, 0.034). As a result, it was evaluated that it’s necessary the regulation and scales related to disability currently in use should be regulated to prepare more scientific, objective, reliable, persuasive and functional expert reports. It was assessed that “The Disability Rates Scale” could be used in evaluating the disability rate in the process.
Learning of teaching: A look at teacher education of the Communication professors in the UFRR
Authors: Baptaglin Leila Adriana , Santi Vilso Junior 
Published: August 2020

ABSTRACT:
This research aims to discuss teacher education implemented in the construction of the learning of teaching of the professors in the Bachelor’s Course in Social Communication/Journalism (CCOS) and the Postgraduate Program in Communication (PPGCOM) in the Federal University of Roraima (UFRR). For this, we analyzed the resumés in the Lattes platform and an inquiry via email to the teachers asking them about the activities they performed during their education process, related to the learning of teaching. This set of documents was studied through the Content Analysis, in which three categories were defined: Initial academic education; Postgraduate studies; and Educational trajectories. The discussion of the data makes it clear that while teachers are educators, they are also educated and this process requires a collaborative posture that is done in the classroom, it is a social, shared achievement. The process of learning of teaching, therefore, places the teacher in face of a challenge of using strategies to favor the mastery of specific knowledge, articulating with the pedagogical dimension, even if for that they need to have educational experiences other than necessarily go through formal education.
The importance of strengthening to social communication postgraduate at the state of Amapá
Authors: Lima Junior Walter Teixeira 
Published: August 2020

ABSTRACT:
This academic essay aims to raise points for the strategic importance of postgraduate courses in Social Communication in the state of Amapá (Brazil). The perceptions come from participant observation processes as a former teaching member of the Graduate Program in Environmental Sciences, belonging to the Graduate Program in Intellectual Property and Technology Transfer for Innovation, both operating at the Federal University of Amapá (Unifap ). The reflection also starts from the experience in other graduate programs, these established in the Southeast region of the country, more riches, and better infrastructure. Therefore, although the essay is based on data and documents, the work is a personal reflection.

KEYWORDS: Post graduation; Communication; Amapa; Relevance.
O (inter)agendamento no jornalismo regional: um estudo de dois telejornais de Imperatriz, no Maranhão (Brasil)
Authors: Silva Sarah Dantas do Rego , Tavares Camilla Quesada 
Published: August 2020

RESUMO:
Este artigo tem por objetivo investigar o interagendamento entre os telejornais JMTV 1° edição, da TV Mirante, e o Na Hora D, da TV Difusora Sul, ambos da cidade de Imperatriz, no Maranhão. Para essa proposta, foram abordados a teoria do agendamento e a perspectiva de mídia regional e local no âmbito televisivo. Metodologicamente, este artigo está ancorado na análise de conteúdo quantitativa, e possui um corpus de 73 matérias analisadas dos dois telejornais, 26 do JMTV e 47 do Na Hora D – durante a primeira semana do mês de agosto de 2019. Sobre os principais achados da pesquisa, tem-se uma limitação no que é proposto sobre regionalismo e percebeu-se que, no período de análise, houve interagendamento midiático entre os dois telejornais.
PENINGKATAN KEMAMPUAN KELOMPOK TERNAK KARYA UNGGUL MELALUI KELAS BELAJAR PEMBUATAN KOMPOS DI KABUPATEN BOJONEGORO
Authors: Utami Bekti Nur , Purwoko Deha 
Published: August 2020

<p>Norm in Sub district Sekar which requires each family maintain a minimum of one cow bringing the total number of cattle population in Sub District Sekar many as 7.676 cows. Livestock raising cattle in Karya Unggul Livest ock Group is carried out jointly with the colony cages as many as 54 cows. A cow can emit feces weighing 25 kg / day (Sihombing, 2000 in Alex S, Without the Year). It should therefore be able to produce compost herd weighing 1.350 kg / day. But the manure waste has not been used and simply discarded. Therefore, to improve the ability of farmers to do the class learned about composting. The purpose of this research was to determine the increase in the capabilities of Karya Unggul Livestock Group in composting through classroom learning. The method used is qualitative descriptive approach. The data collection is done by observation, interviews, focus group discussions, documentation. The research location determined by purposive, namely in group Livestock Karya Unggul In the village Sekar Sub District Sekar District Bojonegoro. The sample used in the census, cosnist of 60 responden. The results showed that increasing the capabilities of livestock group as classroom learning starts from: 1) Planning Study, 2) Implementation of Learning, and 3) Evaluation of Learning. Their classroom learning about composting expected farmers can apply compost processing technology that has been studied and used as a basic fertilizer plant.</p><p><em> </em></p><p> </p><p><em> </em></p>
Deltopectoral Approach for Arthroplasty After Early Failed Proximal Humerus Fixation Via Deltoid Split Heals Uneventfully
Authors: DeBaun Malcolm R. , Goodnough L. Henry , Gatewood Corey , Gardner Michael J. , Abrams Geoffrey D. 
Published: August 2020

Case:
A 57-year-old male carpenter sustained a 2-part displaced proximal humerus fracture of his nondominant arm with varus angulation after a fall down the stairs. Fifteen days postinjury, the patient underwent direct reduction and surgical fixation with an intramedullary cage implant via a deltoid split approach. Nine days postsurgery, the patient presented to the emergency department after another fall with failed fixation. Two weeks after index surgery, he was revised to a reverse total shoulder arthroplasty via a deltopectoral approach and healed both incisions uneventfully.

Conclusion:
A deltopectoral approach performed acutely after a deltoid split approach for fracture can heal uneventfully.
The Co-Movements Between Crude Oil Price and Internet Concerns: Causality Analysis in the Frequency Domain
Authors: Li Jingjing , Tang Ling , Li Ling 
Published: August 2020

AbstractWith the boom of web technology, Internet concerns (IC) have become emerging drivers of crude oil price. This paper makes the first attempt to measure the frequency-varying co-movements between crude oil price and IC in five domains (i.e., fundamentals, supply-demand, crisis, war and weather) by using the frequency causality test method. Based on the monthly Brent spot price and search volumes (SVs) captured by Google Trends from January 2004 to September 2019, new and complementary insights regarding the co-movements between crude oil price and IC are obtained. 1) The co-movements between crude oil price and the IC of supply-demand, war, and weather support a neutral hypothesis at all frequencies due to the characteristics (low value or volatility) of these IC data. 2) There is a unidirectional causal relationship between crude oil price and the IC of fundamentals, running from the latter to the former at low frequencies (long-term). 3) There is a feedback relationship between crude oil price and the IC of crisis, with the IC of crisis driving crude oil price at medium and low frequencies (mid- and long-term) and crude oil price causing the IC of crisis to change permanently. The conclusions of this paper provide important implications for both oil market economists and investors.
Correlation Analysis of Stock Market and Fund Market Based on M-Copula-EGARCH-M-GED Model
Authors: Wang Ruihua , Wang Hongjun 
Published: August 2020

AbstractIn this paper, M-Copula is used to analyze the correlation between Shanghai Composite Index and Shanghai Fund Index. By analyzing the characteristics of the logarithmic yields sequence of two samples, the marginal distribution model is established by using EGARCH-M-GED model. According to the correlation between two logarithmic yields sequence, the M-Copula model is selected to model its correlation structure, and its parameters are estimated by EM algorithm. Because M-Copula combines characteristics of different Copulas, it has more flexible distribution forms and more prominent ability to describe the fat tails and correlation characteristics of data, and more importantly, the effect is better than single Copula.
Truck and Trailer Routing Problem Solving by a Backtracking Search Algorithm
Authors: Yuan Shiyi , Fu Jianwen , Cui Feng , Zhang Xin 
Published: August 2020

AbstractTruck and trailer routing problem (TTRP) is one of the most frequently encountered problem in city distribution, particularly in populated and intensive downtown. This paper addresses this problem and designs a novel backtracking search algorithm (BSA) based meta-heuristics to solve it. The initial population is created by T-sweep heuristic and then based on the framework of backtracking search algorithm, four types of route improvement strategies are used as building blocks to improve the solutions of BSA in the process of mutation and crossover. The computational experiments and results indicate that the proposed BSA algorithm can provide an effective approach to generate high-quality solutions within the satisfactory computational time.
Impact of image size reducing for image quality assesment
Authors: Golub Yu. I. , Starovoitov F. V. , Starovoitov V. V. 
Published: August 2020

The article describes studies of the effect of image reduction on the quantitative assessment of their quality. Image reduction refers to the proportional reduction of horizontal and vertical image resolutions in pixels. Within the framework of these studies, correlation analysis between quantitative assessments of image quality and subjective assessments of experts was performed. For the experiments, we used images from the public TID2013 database with a resolution of 512 × 384 pixels and expert estimates of their quality, as well as photographs taken with a Nikon D5000 digital camera with a resolution of 4288 × 2848 pixels. All images were reduced in 2, 4 and 8 times. For this two methods were used: bilinear interpolation and interpolation by the nearest neighbor.22 measures were selected to evaluate image quality. Quantitative assessment of image quality was calculated in two stages. At the first stage, an array of local estimates was obtained in the vicinity of each pixel using the selected measures. At the second stage, a global quality assessment was calculated from the obtained local ones. To summarize local quality estimates, the parameters of 16 distributions of random variables were considered.According to the results of the experiments, it was concluded that the accuracy of the quality assessment for some measures decreases with image reduction (for example, FISH, GORD, HELM, LOEN measures). BREN and SHAR measures are recommended as the best. To reduce images, it is better to use the nearest neighbor interpolation method. At the same time, the computation time of estimates is reduced on average by 4 times while reducing images by 2 times. When images are reduced by 8 times, the calculation time decreases on average by 80 times. The amount of memory required to store the reduced images is 25 times less.
Toxicity of Povidone-Iodine to the Ocular Surface of Rabbits
Authors: Kim Sun Young , Ahn Yong Sun , Lee Yeo Jin , Kim Hyun Seung 
Published: August 2020

Abstract
Background: We evaluated the toxicity of 5% (w/v) povidone-iodine (PI) applied to the ocular surface of rabbits.Methods: Twenty-three white rabbits were divided into four groups; these were a control group and three study groups in which the ocular surface was exposed to PI for different times. In control group, one drop of phosphate-buffered saline (PBS) was applied once for 10 minutes. In study groups, one drop of 5% (w/v) PI was topically applied once for 1 minute, 3 minutes, and 10 minutes, and then the animals were observed for 7 days. The Schirmer test, Rose Bengal staining, corneal fluorescein staining and conjunctival impression cytology were performed on day 0, 3, and 7. After 7 days, the rabbits were sacrificed and conjunctiva and cornea were collected and evaluated by light and electron microscope. Immunofluorescence staining was also performed to detect mucin 5 subtype AC (MUC5AC).Results: The decrease in goblet cell density, reductions in MUC5AC level and histopathological and ultrastructural changes of conjunctiva and cornea were more prominent in the 5% (w/v) PI groups than the control group (p < 0.05). Moreover, these changes were more prominent when PI was applied for 3 and 10 minutes rather than 1 minute (both p values < 0.05).Conclusions: 5% (w/v) povidone-iodine caused damages to the ocular surface in a time-dependent manner. Therefore, we should be aware of that excessive PI exposure during ophthalmic procedures could be a pathogenic factor of dry eye syndrome after surgery.
Challenges and prospects for implementation of community health volunteers’ digital health solutions in Kenya: a qualitative study
Authors: Bakibinga Pauline , Kamande Eva , Kisia Lyagamula , Omuya Milka , Matanda Dennis J , Kyobutungi Catherine 
Published: August 2020

Abstract
Background

The value of digital health technologies in delivering vital health care interventions, especially in low resource settings is increasingly appreciated. We co-developed and tested a decision support mobile health (m-Health) application (app);with some of the forms used by Community Health Volunteers (CHVs) in Kenya to collect data and connected to health facilities. This paper explores the experiences of CHVs, health workers and members of Sub-County Health Management Teams following implementation of the project.

Methods

Data were collected in December 2017 through in-depth interviews and focus group discussions with CHVs and key informant interviews with health care workers and health managers in Kamukunji sub-County of Nairobi, Kenya. Data coding and analysis was performed in NVivo 12.

Results

Regarding users and health managers’ perceptions towards the system; three main themes were identified: 1) variations in use, 2) barriers to use and 3) recommendations to improve use. Health workers at the private facility and some CHVs used the system more than health workers at the public facilities. Four sub-themes under barriers to use were socio-political environment, attitudes and behaviour, issues related to the system and poor infrastructure. A prolonged health workers’ strike, the contentious presidential election in the year of implementation, interrupted electricity supply and lack of basic electric fixtures were major barriers to use. Suggestions to improve usage were: 1) integration of the system with others in use and making it available on users’ regular phones, and 2) explore sustainable motivation models to users as well as performance based remuneration.

Conclusions

The findings reveal the importance of considering the readiness of information and communication technologies (ICT) users before rollout of ICT solutions. The political and sociocultural environment in which the innovation is to be implemented and integration of new solutions into existing ones is critical for success. As more healthcare delivery models are developed, harnessing the potential of digital technologies, strengthening health systems is critical as this provides the backbone on which such innovations draw support.
Particulate matter and emergency visits for asthma: a time-series study of their association in the presence and absence of wildfire smoke in Reno, Nevada, 2013-2018
Authors: Kiser Daniel , Metcalf William J. , Elhanan Gai , Schnieder Brendan , Schlauch Karen , Joros Andrew , Petersen Craig , Grzymski Joseph 
Published: August 2020

Abstract
Background: Health risks due to particulate matter (PM) from wildfires may differ from risk due to PM from other sources. In places frequently subjected to wildfire smoke, such as Reno, Nevada, it is critical to determine whether wildfire PM poses unique risks. Our goal was to quantify the difference in the association of adverse asthma events with PM on days when wildfire smoke was present versus days when wildfire smoke was not present. Methods: We obtained counts of visits for asthma at emergency departments and urgent care centers from a large regional healthcare system in Reno for the years 2013-2018. We also obtained dates when wildfire smoke was present from the Washoe County Health District Air Quality Management Division. We then examined whether the presence of wildfire smoke modified the association of PM 2.5 , PM 10-2.5 , and PM 10 with asthma visits using generalized additive models. We improved on previous studies by accounting for possible non-linearity in the association between PM concentration and asthma visits: wildfire-smoke days where the PM concentration exceeded the maximum PM concentration on other days were excluded. Results: Air quality was affected by wildfire smoke on 188 days between 2013 and 2018. We found that the presence of wildfire smoke increased the association of a 5 µg/m 3 increase in daily and three-day averages of PM 2.5 with asthma visits by 6.1% (95% confidence interval (CI): 2.1-10.3%) and 6.8% (CI: 1.2-12.7%), respectively. Similarly, the presence of wildfire smoke increased the association of a 5 µg/m 3 increase in daily and three-day averages of PM 10 with asthma visits by 5.5% (CI: 2.5-8.6%) and 7.2% (CI: 2.6-12.0%), respectively. We did not observe any significant increases in association for PM 10-2.5 or for seven-day averages of PM 2.5­ and PM 10 . Conclusions: Since we found significantly stronger associations of PM 2.5 and PM 10 with asthma visits when wildfire smoke was present, our results suggest that wildfire PM is more hazardous than non-wildfire PM for patients with asthma.