bluuebunny/crossref_metadata_2025_split huggingface dataset:
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
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

Summary
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

Abstract
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

Abstract
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

Abstract
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.
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
A New Zealand case study: What is happening to lead changes to effective co-teaching in flexible learning spaces?
Authors: Fletcher Jo , Mackey Julie , Fickel Letitia 
Published: August 2020

Abstract
De-privatising teaching and working collaboratively with fellow teachers in purposively designed school buildings requires effective leadership. The principal is situated amongst those closely affiliated to their school such as teachers, parents and students, and yet they need to work alongside the wider school community, the school’s governing Board of Trustee members and national educational policy-makers and administrators. This article uses a single case study of a school leadership team who changed the school culture from traditional one teacher per classroom settings to four to five teachers with approximately 105 students in flexible learning spaces. The principal and three members of the governing Board of Trustees of the school were interviewed. The study found that the leadership team had invested considerable time into sustained professional development in ways to effectively develop collaborative teaching communities within flexible learning spaces. The professional development, led by the principal, was underpinned by the principal spending time seeking a clear understanding of research-based practices that supported the change. This explicit knowledge of the principal allowed teachers, Board of Trustee members and parents to have confidence in the changes to teaching strategies in flexible learning spaces.