bluuebunny/crossref_metadata_2025 huggingface dataset:
Rare Skin Localization of the Mite: Can it be a house dust mite?
Authors: KAYA Yasemin , ENGİNYURT Özgür , KARAMAN Ülkü
Published: August 2020

The word “allergy” has been used to describe unexpected reactions occurring in human body at the beginning of the 20thcentury. House dust mites are known as an important source of allergens that are found in house dust. Different studies on patients with positive skin test, who were monitored for allergic complaints have shown 35% to 99% mite positivity in house dust. This study evaluated a case of patient with long term (six months) severe itching and mite identified in standard skin biopsy sample. So, it was thought that it might be a house dust mite.
Evaluation of Job Insecurity in Individuals with Chronic Low Back Pain
Authors: TETİK Bora , PAŞAHAN Ramazan
Published: August 2020

Objective: It is natural for individuals who have chronic low back pain to perceive job insecurity because of the difficulty of finding a new job in either public or private sectors. In this study, we investigated the fear of losing job in individuals who admitted to our hospital with chronic low back pain by applying Job Insecurity Scale.Method: Sociodemographic data form and Job insecurity scale were applied to patients working in the private sector, who admitted to our hospital with chronic low back pain. IBM SPSS Statistics 25.0 software was used in analysis. A value of p <0.05 accepted to be statistically significant. Results: A total of 118 people, 41 (34.7%) female and 77 (65.3%) male, participated in the study. Among patients with chronic low back pain, those who underwent surgery for low back pain, those with pain lasting more than 1 year, and those over the age of 50 years were found to have higher scores on the job loss anxiety scale.Conclusion: Recent studies has shown that low back pain is the 2nd most frequent pain. We think that patients with chronic low back pain should be given psychological support because of the anxiety of losing job.
Impact Of The Covid-19 Pandemic On Anxiety And Depression Levels Of The Dialysis Center Employees
Authors: KARATAŞ Ahmet , CANAKCİ Ebru , KAYA Yasemin , BOSTAN Sedat , ÖZTURAN Aykut , ONGUN Aysegul , ERYILMAZ Yasin , DENİZ ÖZTURAN Deniz , VARER AKPINAR Ceren
Published: August 2020

Objective: Coronavirus (COVID-19), an acute respiratory tract disease caused by a new coronavirus (SARS-CoV-2, formerly known as 2019-nCoV), first emerged in China and then drew attention spreading worldwide. In our study we aimed to determine the impact of the Covid-19 pandemic on the dialysis center employees. Methods: The healthcare professionals to take part in the study were limited to the dialysis center employees. The study used a questionnaire comprising the participants’ socio-demographic characteristics, Beck Anxiety Inventory and Beck Depression Inventory, asdata collection tool. The participants completed the questionnaire on voluntary basis in their own environment. As the Beck Anxiety Inventory and Beck Depression Inventory are grading inventories, their validity was confirmed via factor analyses. In addition their reliability analyses were conducted. In order to test the purposes of the study, the SPSS statistics software was used. The analyses were carried out at 95% (p=0.05) confidence interval. The study used descriptive statistical methods, t and ANOVA tests and correlation analysis. Results: Among the participants;54.4% are female and 79.4% are aged 26 to 49 years. 51% of the participants have encountered patients with covid, 41.2% have served patients with covid, 22.1% had covid test and tested negative. 55.9% of the participants have developed no anxiety symptoms, while 24% havedeveloped mild symptoms, 11.8% moderate symptoms and 8.3% severe symptoms. 59.3% of the participants have developed no depression symptoms, while 27.5% have developed mild symptoms, 11.3% moderate symptoms and 2% severe symptoms. It was determined that the participants’ gender, occupation (title), type of their hospital, state of encountering patients with covid and serving these patients, affected their anxiety and depression levels. Conclusion: A significant rate of anxiety and depression was determined in the healthcare professionals providing service in hemodialysis units during the Covid-19 pandemic. In all pandemics, it is necessary to carefully evaluate not only patients, but also healthcare professionals providing service to chronic patients and to take measures. Otherwise healthcare professionals who do not feel well, will not be able to provide effective service.
Instantes Mágicos de Ingmar Bergman
Authors: Avancini Atílio
Published: August 2020

O artigo tem por objeto o documentário A ilha de Bergman (2006) de Marie Nyreröd. O objetivo é estudar o pensamento cinematográfico do diretor Ingmar Bergman (1918-2007) ao analisar criticamente duas de suas obras clássicas: O sétimo selo (1956) e Persona (1965). Esta pesquisa privilegia a utilização de conceitos sobre a mensagem cinematográfica dentro do método teórico da mensagem obtusa de Roland Barthes. O pensamento do cineasta baseado em questões existenciais traz como resultado a dualidade vida-morte e realidade-ficção, e também o impacto poético de suas ideias para a atualidade. As contradições da vida são as inquietações do diretor sueco, que lança perguntas sem respostas definitivas. A conclusão é de que a sua obra autoral, baseada nesses dois filmes, procura buscar a perfeição e a dimensão psicológica-existencial, além de desvendar o caminho da interioridade.
Lugar e tempo: Bento Rodrigues no Lampião
Authors: Gomes Barbosa Karina , Carvalho André Luís
Published: August 2020

Buscamos investigar como se deu a presença de Bento Rodrigues, subdistrito de Mariana (MG), no jornalismo local marianense antes do rompimento da Barragem do Fundão em 5 de novembro de 2015, que o devastou, e se – e como – tal presença se alterou depois da catástrofe. Nosso objeto de pesquisa é o jornal Lampião, que carrega a dupla característica de jornalismo local e de jornalismo experimental. O corpus pesquisado é composto pelas 21 edições anteriores à tragédia – da 0 à 20 – e pela edição 21, dedicada ao acontecimento. A partir de análise de conteúdo, trabalhamos com as variáveis de inferência de espaço e tempo para demarcar presenças e ausências do Bento como lugar; articular as temporalidades engendradas pela cobertura do veículo; e refletir sobre as noticiabilidades acionadas pelo jornal para trazer o subdistrito à tona ou interditar sua existência midiática, nessa dupla inscrição local-experimental. A análise nos permite concluir que o passado de Bento no jornal foi determinado pela mineração, que também consolida um presente que demarca a presença da ausência, amarrando os tempos midiáticos desse lugar/não lugar.
A ética do intelecto: entrevista com Lúcia Santaella
Authors: Da Silva Alexandre Rocha
Published: August 2020

Nesta entrevista, Lúcia Santaella nos desafia a pensar sobre as potencialidades da semiótica em suas interfaces com a comunicação, o design, as tecnologias da inteligência, e também com a biologia, a geologia, a geometria em perspectiva interdisciplinar. Avalia algumas de suas principais obras e reconhece o vínculo existente entre semiótica e política, por ela explorado de maneira transversal desde seus primeiros livros da década de 1980, nos quais dialogava com Marx e Althusser, até os mais recentes, quando realiza uma leitura semiótica das obras de Agamben, Foucault e Negri/Hardt. Problematiza ainda o uso atual das redes sociais, discute o papel da ciência diante das fake News e confessa confiar que o amor pelo conhecimento e a aposta na educação são antídotos aos fundamentalismos que emergem em diferentes instâncias da sociedade.
“A memória é uma ilha de edição”: notas para pensar os modos de produção e circulação de imagens a partir da hashtag #tbt no Instagram
Authors: Moraes Cândida Maria Nobre de Almeida , Coelho Maria das Graças Pinto
Published: August 2020

Este artigo questiona de que modo operam os regimes de visibilidade de si na publicação de imagens de eventos em plataformas de redes sociodigitais. Nesse sentido, propõe, de forma breve, como exercício para pensar, o fenômeno no Instagram do uso da hashtag #tbt – do inglês throwback Thursday, em referência a momentos e contextos passados que voltam a circular mais especificamente na galeria, prioritariamente às quintas-feiras. Reconhece-se o risco de assumir um recorte empírico mais ensaístico, na medida em que há estudos mais verticalizados e orientados às materialidades que circulam nos espaços digitais, a exemplo de Manovich (2017), Lemos e De Sena (2018). Entretanto, sugere-se alguns insights dos modos de observação para tensionar o debate em curso. Ancora-se na análise os conceitos de memória, as discussões sobre a estrutura da rede quanto aos modos de produção e circulação das imagens e sobre a dualidade tempo e espaço nos fluxos das narrativas de si. Conclui-se que, mesmo em um contexto de identidades múltiplas, os regimes de visibilidade impõem o esforço de uma coerência expressiva dos sujeitos conectados que buscam a publicação de memórias não apenas com o sentido de permanência, mas como estratégia de conversação. Destaca-se o presente como período homogeneizador das experiências, ainda que essas lembranças (#tbt) se ancorem no passado.
Land Value Potential Zonation : Implication Towards Urban Planning
Authors: Mainaki Revi , Putri Anita Eka , Utomo Dwiyono Hari
Published: August 2020

Potential land prices are strongly influenced by various factors, Cimahi City has three sub-districts displaying unique characteristics, since it is located between two districts and one large city, which affects the potential price of land. The potential price of land is crucial to identify, especially in determining the policies of related agencies, the purpose of this research was to zoning potential land prices in Cimahi City. This study engaged a quantitative approach utilizing data collection technique in the form of observation, literature, documentation, and interviews, then analysis was conducted using a GIS which composed of assessment, weighting, coating, and buffering. The study population was all sub-districts in Cimahi. The research samples were taken from several sub-districts which were influenced by districts and cities characteristics indicators such as  accessibility, land usage, and land ownership status. The results showed land prices potential was classified as low, medium, and high which was derived by several indicators. It could be concluded that the potential land price is strongly influenced by the surrounding area features, especially urban and district infrastructure.
Keywords: Land Value Potential; Zonation; Urban Planing
Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember
This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
PATH INTEGRAL SOLUTIONS OF PT-/NON-PT SYMMETRIC AND NON-HERMITIAN DENG-FAN MOLECULAR POTENTIAL
Authors: KANDIRMAZ Nalan
Published: August 2020

In this study, Path integral behavior of Parity-Time (PT)-/non-PT- Symmetric and Non-Hermitian Deng-Fan Molecular potential is examined. Appropriate coordinate and momentum transformations and parametric time were defined and the kernel of the system was found. By applying the path integral method, Green's function, which gives energy eigenvalues and wave functions of the system, is evaluated. Energy eigenvalues and corresponding wave functions of PT- / PT Symmetric and Non-Hermitian systems were obtained.Bu çalışmada PT-/PT Simetrik ve Hermityen olmayan Deng-Fan Moleküler potansiyelinin Path integral davranışı incelendi. Uygun koordinat ve momentum dönüşümleri ve parametrik zaman tanımlanarak sistemin kerneli elde edildi. Path integral yöntemi uygulanarak sistemin enerji özdeğerleri ve dalga fonksiyonlarını veren Green's fonksiyonu hesaplandı. PT-/PT Simetrik ve non hermityen olmayan sistemin enerji özdeğerleri ve karşılık gelen dalga fonksiyonları elde gösterildi.
SYNTHESIS AND CHARACTERIZATION OF POLYCAPROLACTONE NANOCOMPOSITE FIBER WITH TITANIUM DIOXIDE ADDITIVES
Authors: YILMAZ Elif Burcu , CEYLAN Muhammet
Published: August 2020

Nanotechnology can control the atomic, molecular, and supramolecular levels of matter. As the size of a particle goes down to nano-size, materials exhibits good characteristics in terms of electronics, optic, thermal, magnetic and fotocatalysis properties. The nano composite fibers comprise of finely dispersed flakes of the second phase inorganic material with nylon or polyester type fiber forming polymers. Nano-fiber based materials obtained by the method of electrospining in the interest of the outstanding features has increased due to the common application areas of filtration, composites, medicine. In this research, we produced nano composites at 0.50 1, 2, and 4 % ratio using polycaprolactone (PCL) and titanium dioxide (TiO2). Energy Dispersive X-Ray Spectroscopy (EDS) and Scanning Electron Microscopy (SEM) were used to analyze titanium dioxide nano fibers.
KİMYASAL ANKRAJLARDA KENAR MESAFESİ VE GÖMME DERİNLİĞİNİN ETKİSİ
Authors: ÇALIŞKAN Özlem
Published: August 2020

Yapıların onarım ve güçlendirme işlerinde kimyasal ankrajlar yaygın olarak kullanılmaktadır. Hızlı ve kolay uygulanabilir olmaları nedeni ile tercih edilen kimyasal ankrajların dayanımlarına birçok parametre etki etmektedir. Bu çalışmada farklı kenar mesafesi ve derinliklerde ekilen kimyasal ankrajların çekme dayanımları incelenmiştir. 12 mm çapa sahip B420C sınıfındaki nervürlü çubuklar, 60, 100, 120, 150, 180 ve 240 mm derinliklere kenardan 60, 80, 100 ve 120 mm olacak şekilde iki bileşenli, kartuşlu yapıştırıcı ile ekilmişlerdir. Ekilen çubuklara eksenel çekme testi uygulanmış ve elde edilen yük-deplasman eğrilerinden başlangıç rijitliği, deplasman süneklik oranı ve enerji yutma kapasitesi değerleri hesaplanmıştır. ACI 318 Ek-D’nin göçme modlarına göre verdiği hesap yöntemleri dikkate alınarak tasarım dayanım değerleri belirlenmiş ve deney sonuçları ile karşılaştırılarak güvenlik katsayıları bulunmuştur.
A Discussion on the Evolution of the Pathfinding Algorithms
Authors: Pan Tong , Pun-Cheng Shuk Ching
Published: August 2020

In daily travel and activities, pathfinding is a significant process. They are often used in transportation routes calculation. They have now evolved to be able to solve most situations of the pathfinding and its related problems. This review describes previous and recent studies on the pathfinding algorithms. It reviews the development of pathfinding algorithms in a classification base on their usage. The aim is to summarize the application of the pathfinding algorithms for the readers interested in the subject that can be used as a supplement.
Downward Trend in the Indices of Death Rate in the COVID-19 Pandemic: Evaluating Alternative Hypotheses
Authors: Watve Milind , Shinde Sonali , Ranade Pratima
Published: August 2020

In the ongoing Covid-19 pandemic, in the global data on the case fatality ratio and other indices reflecting death rate, there is a consistent downward trend from mid-April to mid-August. The downward trend can be an illusion caused by biases and limitations of data or it could faithfully reflect a declining death rate. A variety of explanations for this trend are possible, but a systematic analysis of the testable predictions of the alternative hypotheses has not yet been attempted. We state six testable alternative hypotheses, analyse their testable predictions using public domain data and evaluate their relative contributions to the downward trend. We show that a decline in the death rate is real; changing age structure of the infected population and evolution of the virus towards reduced virulence are the most supported hypotheses and together contribute to major part of the trend. The testable predictions from other explanations including altered testing efficiency, time lag, improved treatment protocols and herd immunity are not consistently supported, or do not appear to make a major contribution to this trend although they may influence some other patterns of the epidemic.
A Complex Systems Perspective on Neuroimaging Studies of Behaviour and Its Disorders
Authors: Expert Paul , Turkheimer Federico
Published: August 2020

The study of complex systems deals with emergent behaviour that arises as a result of nonlinear spatio-temporal interactions between a large number of components both within the system, as well as between the system and its environment. There is a strong case to be made that neural systems as well as their emergent behaviour and disorders, can be studied within the framework of complexity science. In particular, the field of neuroimaging has begun to apply both theoretical and experimental procedures originating in complexity science – usually in parallel with traditional methodologies. Here, we demonstrate that the use of such traditional models may distort the outcomes of neuroimaging experiments – hence affecting their interpretability and raising questions about their reliability.Therefore, we argue in favor of adopting a complex systems-based methodology in the study of neuroimaging, alongside appropriate experimental paradigms, and with minimal influences from non-complex systems approaches. Our exposition includes a review of the fundamental mathematical concepts, combined with practical examples and a compilation of results from the literature.
Personalized Hybrid Educational Recommender System Using Matrix Factorization with User and Item Information
Authors: Rodriguez-Marin Paula Andrea , Duque-Mendez Nestor Dario , Ovalle-Carranza Demetrio Arturo , Martinez-Vargas Juan David
Published: August 2020

One of the main challenges for autonomous learning in virtual environments is finding the right material that fits students’ needs and supports their learning process. Personalized recommender systems partially solve this problem by suggesting online educational resources to students based on their preferences. However, in educational environments (which need a proper characterization of both users and educational resources), most existing recommendation algorithms either fail to include all the available information or use hybrid processes that do not exploit possible relationships between users and item features. This article presents a personalized recommender system for educational resources aimed at combining user and item information into a single mathematical model based on matrix factorization. As a result, estimated latent factors can provide insight into possible interactions between users and item features, improving the quality of the information retrieval process. We validated the proposed model on a real dataset that contains the ratings assigned by students from Universidad Nacional de Colombia and Universidade Feevale to educational resources in the Colombian Federation of Learning Object Repositories (FROAC in Spanish). User characterization included learning style and educational level, whereas item characterization (obtained from the objects’ metadata), included interactivity level, aggregation level and type, and resource format. These results, compared to those obtained when not all the available information is included, show that our method can improve the recommendation process.
Pengembangan e-Modul Elektrokimia Terintergasi Lingkungan Berbasis Kontekstual Untuk SMK Kompetensi Keahlian Teknik Otomotif
Authors: Purwanto Agung , Nurjayadi Muktiningsih , Tantaruna Johanes Erwin
Published: August 2020

Penelitian ini bertujuan untuk menghasilkan e-modul pembelajaran elektrokimia sebagai bahan ajar kontekstual terintegrasi lingkungan untuk peserta didik SMK Kompetensi Keahlian Teknik Otomotif. Penelitian ini dilakukan di SMK Negeri 26 Jakarta selama semester genap Tahun ajaran 2018/2019. Metode yang digunakan adalah metode Research and Development. Responden dalam penelitian ini adalah peserta didik SMK, dosen, dan guru. Hasil interpretasi uji kelayakan materi dan kebahasaan 74%-87% dengan nilai r = 0,93 menunjukan bahwa e-modul sudah sangat baik dalam hal kelayakan isi dan kelayakan penyajian. Sedangkan hasil interpretasi uji kelayakan media 76% - 89% dengan nilai r = 0,94 menunjukan bahwa e-modul sudah sangat baik dalam hal ukuran e-modul, desain sampul e-modul, dan desain isi e-modul. Berdasarkan penilaian peserta didik pada uji coba kelompok kecil, e-modul diperbaiki dan diuji kembali pada kelompok besar dan didapatkan interpretasi 72%-90% yang menunjukan e-modul sudah sangat baik dalam hal kelayakan materi dan kelayakan penyajian. Berdasarkan penilaian uji coba guru didapatkan interpretasi 84% - 100% dengan nilai r = 0,81 yang menunjukan e-modul sudah sangat baik. Hasil interpretasi yang sangat baik menunjukan bahwa e-modul elektrokimia untuk SMK Kompetensi Keahlian Teknik Otomotif layak digunakan sebagai bahan ajar.
Pengaruh Integrasi Laboratorium Virtual dalam Model Pembelajaran Problem Solving Terhadap Kemampuan Berpikir Kritis Peserta Didik pada Materi Elektrolit dan Non elektrolit
Authors: Dwi Afni Musyaillah  , Muhab Sukro , Yusmaniar
Published: August 2020

The purpose of this study was to determine the positive effect of virtual laboratory integration in Problem Solving learning models on students' critical thinking skills in the electrolyte and non-electrolyte solution materials. This research was conducted in December 2018 - May 2019. The quantitative research method used was a quasi-experiment with Posttest Only Control Group Design. This research consisted of experimental class and control class, with 36 students in each class. The experimental class applies virtual laboratory integration learning in the Problem Solving learning model, while the control class applies 5M learning. The results showed that the average posttest value of the experimental class was 72.8 and the control class was 63.7. The results of the testing of the hypothesis were obtained by the value of t count (4.942)> t table (1,667) with a value with a significant level of 0.05, indicating that the positive influence of virtual laboratory integration in the Problem Solving learning model on students' critical thinking abilities in electrolyte solution material and nonelectrolytes.

KeywordsVirtual Laboratory, Problem Solving, Critical Thinking Ability, Electrolyte and nonelectrolyte
Rhythm Reproduction in English Translation of Chinese Poetry: A Contrastive Analysis of Li Bai's “GUAN SHAN YUE”（关山月）and its English Version
Authors: Luo Yilu , Tan Honghui
Published: August 2020

This paper contrasts the rhythm of Li Bai's “GUAN SHAN YUE”（关山月）and that of Fletcher's English version “The MOON OVER The PASS” and finds out the functional equivalence between the Ping (平) and Ze (仄) (level and oblique tones) of Chinese poetry and the lightly stressed and heavily stressed syllables of English poetry, the number of Yan (言) (the number of characters) and the number of feet, and the rhymes. To promote the realization of musical beauty, formal beauty and emotional expression in the translation of Chinese poetry and reproduce the rhythm of ancient Chinese poetry, five-character and seven-character poem with regular line can be translated into iambic pentameter; pre-Tang poem and Song Ci with irregular line can be translated according to the analogy of character and syllable, and the feet of the translated poem can mainly be iambs; the rhyme of the translated poem can be couplet rhyme, cross rhyme or alternate rhyme. Based on this strategy, the author translates her self-created poem “MAN JIANG HONG ZHAN YI”（满江红·战疫）into English to prove the feasibility of the rhythm reproduction strategy of the English translation of ancient Chinese poetry.
Efek sistem pemrosesan informasi rasional dan intuitif pada pengambilan keputusan kewirausahaan: sebuah tinjauan literatur
Authors: Gani Ariel Nian , Rofi’i Muhammad , Maksum Ikhsan
Published: August 2020

The use of rational and intuitive information-processing systems is related to the entrepreneurial decision-making effectiveness. This study aims to comprehensively describe the literature that examines the effects of using rational and intuitive systems on entrepreneurial decision making. Leading literature databases are sought for studies published between 1995 and 2017 that evaluate rational and/or intuitive systems in relation to entrepreneurial decision making. We found ten empirical studies that met our inclusion criteria. There is some evidence from this research that the use of intuitive systems can positively influence entrepreneurial decision making in the early stages of entrepreneurship (e.g, opportunity identification). Other studies report mixed results regarding the impact of using rational and / or intuitive information processing systems for decision making at the next entrepreneurial stage (e.g, Exploitation of opportunities and financial performance). Based on the findings of this review, there are three further research opportunities, namely: (1) researchers must begin to learn about the ability of entrepreneurs to match their cognitive information processing systems with task characteristics; (2) assesses the effectiveness of decision making as the main outcome; and (3) study the construction of entrepreneurial behavior at the individual level in relation to the use of rational and intuitive information processing systems.
Hospital expenses and liver disease in Brazi
Authors: Schwambach Karin , Becker Matheus , Paz Adriana Aparecida , Linch Graciele Fernanda , Weis Alísia Helena , Blatt Carine Raquel
Published: August 2020

Objective: This study aims at describing the values and morbimortality of hospital admissions for liver disease in the Brazilian public health system. Methods: The study was carried out in the DATASUS, for a period of five years. The number, causes, time, mortality rate and values of hospitalizations in the period were investigated. Results: In five years, there were 67,561,584 hospitalizations, of which 461,431 were due to liver diseases. The value of hospitalizations in the period was US$ 23 billion, and liver diseases accounted for US$ 384 million, which corresponds to 76 million per year. In liver diseases, the mean length of hospital stay was 8 days whereas for other hospitalizations the mean time was 5 days. The mortality rate from liver diseases was 14% while the general mortality rate was 4%. The average cost of hospitalizations was US$ 531 for liver diseases and US$ 84 for other causes of hospitalization. Conclusion: In the Brazilian public health system, liver diseases have a higher average value, a longer average hospital stay, and a higher mortality rate when compared to all causes of hospitalization.
Interpretation of Hydraulic Fractures Based on Microseismic Response in the Marcellus Shale, Monongalia County, West Virginia, USA: Implications for Shale Gas Production
Authors: Zhu Yixuan , Carr Timothy
Published: August 2020

Hydraulic fracturing is critical for extracting shale gas in the subsurface. The treatment technique of multistage hydraulic fracturing is widely used to maximize production. In multistage hydraulic fracturing, not all pumping stages make the same contribution for production, although the designed stimulation process is almost same in every pumping stage. In this study, we characterize the microseismic responses of hydraulic fracturing. Significant variations of microseismic characteristics are observed among the different pumping stages. Pre-existing natural fractures are examined along the horizontal well in selected stages. Combined with the Mohr’s circle analysis, results of the fracture study show that induced hydraulic fractures can be captured by pre-existing natural fractures. Induced hydraulic fractures are simulated by the unconventional fracture model (UFM), and the result reveals that the stress-shadow effect diverts the direction of hydraulic fractures. The diverted hydraulic fracture affects the development of the hydraulic fracture network, which has influence on production. The treatment of two-step pumping is investigated by application of hydraulic diffusivity. Hydraulic fracturing performance and production could be optimized by the treatment of two-step pumping in a single stage. The second pumping creates new fractures and fills the fractures with additional proppants to maintain production for a long duration.
Diagnostic biomarker candidates for pulpitis revealed by bioinformatics analysis of merged microarray gene expression datasets
Authors: Chen Ming , Zeng Junkai , Yang Yeqing , Wu Buling
Published: August 2020

Background: Pulpitis is an inflammatory disease, the grade of which is classified according to the level of inflammation. Traditional methods of evaluating the status of dental pulp tissue in clinical practice have limitations. The rapid and accurate diagnosis of pulpitis is essential for determining the appropriate treatment. By integrating different datasets from the Gene Expression Omnibus (GEO) database, we analysed a merged expression matrix of pulpitis, aiming to identify biological pathways and diagnostic biomarkers of pulpitis. Methods: By integrating two datasets (GSE77459 and GSE92681) in the GEO database using the sva and limma packages of R, differentially expressed genes (DEGs) of pulpitis were identified. Then, the DEGs were analysed to identify biological pathways of dental pulp inflammation with Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and Gene Set Enrichment Analysis (GSEA). Protein–protein interaction (PPI) networks and modules were constructed to identify hub genes with the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) and Cytoscape.Results: A total of 470 DEGs comprising 394 upregulated and 76 downregulated genes were found in pulpitis tissue. GO analysis revealed that the DEGs were enriched in biological processes related to inflammation, and the enriched pathways in the KEGG pathway analysis were cytokine-cytokine receptor interaction, chemokine signalling pathway and NF-κB signalling pathway. The GSEA results provided further functional annotations, including complement system, IL6/JAK/STAT3 signalling pathway and inflammatory response pathways. According to the degrees of nodes in the PPI network, 10 hub genes were identified, and 8 diagnostic biomarker candidates were screened: PTPRC, CD86, CCL2, IL6, TLR8, MMP9, CXCL8 and ICAM1.
Sex differences in the association between self-rated health and high-sensitivity C-reactive protein levels in Koreans: A cross-sectional study using data from the Korea National Health and Nutrition Examination Survey
Authors: Park Se-Won , Park Seong-Sik , Kim Eun-Jung , Sung Won-Suk , Ha In-Hyuk , Jung Boyoung
Published: August 2020

Background: No studies have investigated the association between self-rated health (SRH) and high-sensitivity C-reactive protein (hs-CRP) levels in South Koreans. We explored this association and analyzed differences between sexes.

Methods: Using cross-sectional data from the 2015 –2017 Korea National Health and Nutrition Examination Survey, we analyzed the association between SRH and high hs-CRP levels (>1.0 mg/L) in 14,544 Koreans aged ≥19 years who responded to the SRH survey and had hs-CRP test results. Differences in sociodemographic factors were analyzed using Pearson’s chi-square test for categorical variables or the Mann-Whitney U test for continuous variables. Multiple logistic regression analysis was used to measure the association between hs-CRP levels and SRH according to sex while adjusting for other possible confounders.

Results: The percentage of having a very poor to poor SRH was higher in the high hs-CRP level group (22.4%) than in the low hs-CRP level group (17.66%). Among men, the risk of a high hs-CRP level increased with worse SRH (adjusted for confounders; P for trend <0.001). After adjusting for all confounders, including chronic diseases, men with a very poor SRH showed a higher odds ratio (OR) for high hs-CRP levels than those with a very good SRH (fully adjusted OR, 1.74; 95% confidence interval, 1.04-2.90). Significant correlations were absent among women.

Conclusions: A poor SRH was correlated with low-grade inflammation (high hs-CRP level) among male Korean adults. The findings could be useful for developing health improvement programs and in goal setting at a national scale.
Determinants of the low practice, knowledge and attitude of exclusive breastfeeding in four health centres of the Talangaï Health District, Congo
Authors: Woromogo Sylvain Honore , Elenga Marie Onday , Moussa Félicité Emma Yagata , Antaon Jesse St Saba , Tebeu Pierre Marie
Published: August 2020

Objectives The objective of the study is to assess the determinants of the low practice, knowledge and attitudes of breastfeeding mothers in the Talangaï district of Congo.Study design An analytical knowledge, attitudes and practice (KAP) study about EBF in mothers of children aged 0-6 months was conducted.Methods A KAP analytical study was carried out from December 3, 2017, to July 15, 2018, based on the four health centers of the Talangaï health district in Congo Brazzaville. Using formula from Wayne W. Daniel, 357 mothers were included. The practice of EBF was determined based on a 24-h recall. The main variables studied were the socio-demographic characteristics of the mothers and their knowledge, attitudes and practices regarding EBF based on WHO recommendations. A logistic regression analysis was performed, and the odds ratio was calculated with a 95% confidence interval.Results The mean age was 26.8 years (± 5.9 years). Mothers with 2-3 children represented 42.6% of the sample. The prevalence of EBF among infants 0–6 months old was 33.9%. Mothers' knowledge, attitudes and practices were unsatisfactory (78.4%), favourable (79.5%) and bad (67.2%), respectively. Factors associated with satisfactory knowledge were being a public official [OR: 3.18 (1.39-7.28)] and/or multiparous [OR: 2.25 (1.23-4.11)]. Mothers who had satisfactory knowledge had a higher rating of having good practices on EBF.Conclusions Factors related to good knowledge among mothers are multiparity, age and being a civil servant. Promoters’ EBF must target mothers in all sectors of activity and even in the community by sensitizing them on the subject.
Energy Spectrum CT Differential Diagnosis of Idiopathic Calcification and Ossification of Adult Intervertebral Disc: A Report of three Cases
Authors: Wu Xiaolin , Xiang Hongfei , Cong Wenbin , Zhang Guoqing , chen bohua
Published: August 2020

The authors have withdrawn this preprint due to author disagreement.
The Selected Architectural Solution of Modern Museums in China in the Aspect of Manifestation of Traditional Culture
Authors: BONDARENKO Iryna , WANG Zhaohui , IEREMENKO Iryna , BONDARENKO Kostiantyn
Published: August 2020

In the developed countries of the world, the interests of society are increasingly becoming oriented towards acquaintance with the cultural characteristics that characterize the identity of a particular region. The result of interaction with national traditions, as components of culture is clearly demonstrated by architecture. In relation to China, its rich cultural heritage has become a source for creating unique modern museum structures. This paper analyzes a number of design solutions of museum constructions in the PRC, which clearly represent actual ways of rethinking of cultural traditions. Using the example of the Ningbo History Museum, the Xinjin Zhi Museum in Chengdu, the Folk-art galleries for China Academy of Arts and the Museum of Handcraft Paper, professional methods that determine architectural nature of museum structure are systematized. At the same time, they act as carriers of local features expressing “the spirit of the place”.
Complex Space Monitoring Data Analysis to Determine Environmental Trends of Poland-Ukraine Border Areas
Authors: BUTENKO Olga , HORELIK Stanislav , KRASOVSKA Inesa , ZAKHARCHUK Yevgeniy
Published: August 2020

A comprehensive approach to assessing the current ecological status of the Poland-Ukraine border areas has been considered, identifying possible negative effects associated with river water pollution. The main environmental impact factors that are directly related to the negative effects of anthropogenic load on the changing ecological status of the border areas and adjacent terrain have been identified. Particular attention was paid to the pollution monitoring data analysis of the Ukrainian part of the Western Bug basin. Using the space monitoring results, pollution sources that were not recorded in the official reports were identified. Their negative impact on the change of quality of life within the border areas was assessed. The integration specificities of heterogeneous time-differentiated ecosystem monitoring data were considered. The integration expediency of interdisciplinary joint analysis methods of decryption data and field observations for making operational decisions to prevent negative consequences of possible changes in the ecological status is shown. Modelling was utilized to determine the estimated contamination time of the river systems of Western Bug and Vistula from the Ukraine territory. The tendency of further changes in the ecological status of the analyzed areas has been ascertained, including the assessment of possible negative consequences.
Methods Used in Disinfections of Wastewater and Sewage Sludge – Short Review
Authors: HAWRYLIK Eliza
Published: August 2020

Wastewater and sewage sludge are a place of occurrence of many microorganisms, including viruses, pathogenic and relatively pathogenic bacteria. They can leak into other environments, i.e. receiver waters or soil, thus creating a biological hazard. Increasing the sanitary level of safety of municipal wastewater treatment plants requires the introduction of disinfection of sewage and sewage sludge.

The purpose of this article is a short review of the literature on methods used in disinfection of wastewater and sewage sludge. The work discusses the sanitary characteristics of wastewater and sewage sludge, primarily paying attention to the physical and chemical methods used to disinfect them. In addition, attention was also paid to the aspect of practical use of disinfection in municipal wastewater treatment plants around the world.
Improved Faster R-CNN Algorithm for Sea Object Detection Under Complex Sea Conditions
Authors: Yabin Liu , Jun Yu , Zhiyi Hu
Published: August 2020

In In the process of sea surface object detection by remote sensing images, this paper proposes an improved Faster R-CNN sea surface object detection algorithm for the problems of low accuracy and long detection time using deep neural networks. Firstly, the size of the bounding box in the region proposal networks is analyzed, and then the object in the image is clustered using the K-Means algorithm, and the clustering results are input into region proposal networks, thereby realizing the region proposal networks improvement of. Secondly, the Soft-NMS algorithm is used to screen the target candidate frame to obtain the detected sea objects. The experimental results show that the algorithm of this paper can detect the sea surface object of remote sensing images under complex sea conditions, and its mAP can reach 87.25%, which is an average increase of 3.75% compared with the commonly used detection methods.
A novel algorithm for estimation of Twitter users location using public available information
Authors: Almadany Yasser , Saffer Khalid Mohammed , Jameil Ahmed K. , Albawi Saad
Published: August 2020

Social media networks are an attractive and hot research area in the big data community because of their numerous active users. One of the most widely studied topics in social networks is the prediction from the public available data. Recently, researchers have successfully predicted many statistical and human properties from social media networks using different machine learning algorithms. In this paper, a new efficient and accurate algorithm is proposed to predict the country location of a Twitter user using his or her public information only. The proposed algorithm employs the public information of the Twitter user and that of his or her followers and friends to predict his or her location without using GPS data. A convenient data set of Twitter users is gathered and used to test our proposed algorithm using KNIME software. The proposed algorithm is compared with other state-of-the-art algorithms, and results showed that our proposed algorithm significantly outperforms other location detection algorithms by using Twitter users from different countries.
Implementation of a low cost, solar charged RF modem for underwater wireless sensor networks
Authors: Abdellatif Mohammad M. , Maher Salma M. , Al-sayyad Ghazal M. , Abdellatif Sameh O.
Published: August 2020

Underwater communication (UWC) has become an attractive research field over the past few decades. This is mainly due to the increase in underwater applications such as exploration, monitoring, and warning systems. Traditional communications techniques face many obstacles when used underwater. Optical communications require line of sight which is not always maintained underwater due to turbulence. Acoustic communication does not suffer from that, however, it can only operate with very low rates. While radio frequency (RF) communication can only operate over short distances due to the attenuation from the water, it can deliver relatively high data rates and does not require line of sight nor affected by turbulence. Additionally, it does not suffer much when crossing the air–water boundaries. Moreover, underwater nodes require a new method of powering as it is not feasible to change their batteries when they are depleted. And so, we have investigated underwater solar power harvesters as a means to power the underwater nodes. In this paper, we design, implement, integrate, and test a low cost solar powered RF underwater modem to be used as a building block of an underwater wireless sensor network. The system was tested with multiple nodes to allow multi-hop communications in order to increase the communication distance. Results show that the network operates with a moderate to high throughput from end to end.
Handling temporal constraints in interaction protocols for intelligent multi-agent systems
Authors: Qasim Awais , Iqbal Sobia , Aziz Zeeshan , Kazmi Syed Asad Raza , Munawar Adeel , Gilani Basit Ali , Qasim Neelam
Published: August 2020

This research focuses on handling temporal constraints in interaction protocols for multi-agent systems. There is a dire need of standardized interaction protocols that can be used to handle timing aspects in real-time multi-agent system’s negotiation. The most commonly used Foundation for Intelligent Physical Agents Protocol lacks the appropriate specification in this regard. In real-time systems timing constraint is a major concern for all of its tasks and goals. Agents require real-time responses and must eliminate the possibility of massive communication between them. The timing specification of these real-time multi-agent systems in which agents communicate with each other to achieve their goals within deadline will be of great value for their correct functioning. A high degree of dependability and predictability is expected from real-time software agents. The basis of our work is the standardized interaction protocols to support the communication between agents in real-time environment and this is possible via message passing. By incorporation of well-defined timing parameters in Foundation for Intelligent Physical Agents performatives, we have enabled them to be used in any real-time multi-agent’s communication. We demonstrate the usage and effectiveness of our proposed real-time performatives using a case study of monitoring boats in marine reserves in which the agents interact with each other to accomplish their goals.
1/10th scale autonomous vehicle based on convolutional neural network
Authors: Seth Avishkar , James Alice , Mukhopadhyay Subhas C.
Published: August 2020

A vehicle capable of using sensors to detect and control its driving actions is called an autonomous vehicle. The development of autonomous vehicles caters to many application areas in the technological advancement of society. This research paper shows a demonstration and implementation of an autonomous vehicle based on a convolutional neural network. The vehicle uses a 1/10th scale RC car as its primary base for the system control with the camera as its primary input. For the computing platform, a Raspberry Pi 4 microprocessor board is used. To enhance the capabilities, the ultrasonic sensor has been implemented in the system as well. The unique aspect of this project is the system design, the CAD modeling, and the track built used to train and test the self-driving capability of the car. The CNN model and the software algorithm also are exclusive to this research project. This research has potential in a variety of application areas in education and also for robotics and autonomous car enthusiasts.
The importance of safe space and student voice in schools that serve minoritized learners
Authors: Katherine Cumings Mansfield
Published: August 2020

This article is based on an ethnography conducted over a six year period that used participant observation, photography, focus groups, and interviews to discover and describe the emergent school culture and the lived experiences of female secondary students in an all-girls college preparatory school. This article shares the story of a group of women educators who created a novel school culture, and the female students who meet them there, to disrupt and transform the dailiness of sexism, racism, and classism. Through a commitment to building a supportive school culture that includes developing robust relationships and forefronting the voices of women, this community of learners is working in a very socially just way so as to confront the past and interrupt the present, and revolutionize future trajectories of historically minoritized peoples.
Effective leadership practices leading to distributed leadership
Authors: Denee Rachel , Thornton Kate
Published: August 2020

Leadership within the early childhood education (ECE) sector in New Zealand is both positionally assigned and a required practice of all teachers. Within this context, distributed leadership – where all team members have the opportunity to lead – is increasingly seen as an effective leadership model. This article reports on a study whose aim was to discover practices of effective positional leaders in facilitating distributed leadership. A nationwide survey was carried out in Aotearoa New Zealand to capture a picture of current perceptions of ECE teachers and positional leaders about distributed leadership for professional learning. Subsequently, leadership practices for distributed leadership in three previously-identified high quality ECE services were investigated through individual and group interviews. The analysis of literature, survey and interview findings from this study led to a framework of effective leadership practice, consisting of: mentoring and coaching; fostering relational trust; and creating vision and designing supportive structures.