Data Analysis Phase Research Articles

A Novel Process Audit for Standardized Perioperative Handoff Protocols

A perioperative handoff protocol provides a standardized delivery of communication during a handoff that occurs from the operating room to the postanestheisa care unit or ICU. The protocol's success is dependent, in part, on its continued proper use over time. A novel process audit was developed to help ensure that a perioperative handoff protocol is used accurately and appropriately over time. The Audit Observation Form is used for the Audit Phase of the process audit, while the Audit Averages Form is used for the Data Analysis Phase. Employing minimal resources and using quantitative methods, the process audit provides the necessary means to evaluate the proper execution of any perioperative handoff protocol.

Acoustic-Based Non-Destructive Estimation of Wood Quality Attributes within Standing Red Pine Trees

The relationship between acoustic velocity (vd) and the dynamic modulus of elasticity (me), wood density (wd), microfibril angle, tracheid wall thickness (wt,), radial and tangential diameters, fibre coarseness (co) and specific surface area (sa), within standing red pine (Pinus resinosa Ait.) trees, was investigated. The data acquisition phase involved 3 basic steps: (1) random selection of 54 sample trees from 2 intensively-managed 80-year-old plantations in central Canada; (2) attainment of cardinal-based vd measurements transecting the breast-height position on each sample tree; and (3) felling, sectioning and obtaining cross-sectional samples from the first 5.3 m sawlog from which Silviscan-based area-weighted mean attribute estimates were determined. The data analysis phase consisted of applying graphical and correlation analyses to specify regression models for each of the 8 attribute-acoustic velocity relationships. Results indicated that viable relationships were obtained for me, wd, wt, co and sa based on a set of statistical measures: goodness-of-fit (42%, 14%, 45%, 27% and 43% of the variability explained, respectively), lack-of-fit (unbiasedness) and predictive precision (±12%, ±8%, ±7%, ±8% and ±6% error tolerance intervals, respectively). Non-destructive approaches for estimating the prerequisite wd value when deploying the analytical framework were also empirically evaluated. Collectively, the proposed approach and associated results provide the foundation for the development of a comprehensive and precise end-product segregation strategy for use in red pine management.

O Profissional da Informação na Era do Big Data

Os profissionais da informação são desafiados a trabalhar com a rapidez imposta tanto pela geração de informação e de dados, quanto pela variedade de fontes em que elas se encontram, assim, sua atuação se apresenta como fundamental ao buscar a sinergia entre as necessidades de gestores e a expertise dos profissionais da computação. Nesse cenário o objetivo deste trabalho é identificar e discutir a intersecção entre as funções executadas pelos administradores (gestores), cientistas da computação e dos profissionais da informação em ambientes de Big Data Analytics. A metodologia utilizada é de caráter qualitativo, sendo a pesquisa exploratória, visto que, partiu dos estudos da Ciência da Informação, do Profissional da Informação e do Big Data, para estabelecer um elo entre tais conceitos. Como resultado demonstra-se e descreve-se a atuação do profissional da informação em todas as fases da análise dos dados. Verificou-se uma intersecção entre a proposta de relacionamento entre os atores “Administrador”, “Profissional da Informação” e “Profissional da Computação”, com o chamado cientista de dados, em que devido a diferentes competências exigidas do cientista, conclui-se que tanto o profissional da informação quanto o profissional da computação podem se especializar nesta área, atuando em campos diferentes, mas complementares, fornecerão informações em cenários de Big Data auxiliando a tomada de decisões e agregando valores para as organizações.

Development of an intelligent e-healthcare system for the domestic care industry

PurposeIn view of the elderly caregiving service being in high demand nowadays, the purpose of this paper is to develop an intelligent e-healthcare system for the domestic care industry by using the Internet of Things (IoTs) and Fuzzy Association Rule Mining (FARM) approach.Design/methodology/approachThe IoTs connected with the e-healthcare system collect real-time vital sign monitoring data for the e-healthcare system. The FARM approach helps to identify the hidden relationships between the data records in the e-healthcare system to support the elderly care management tasks.FindingsTo evaluate the proposed system and approach, a case study was carried out to identify the association between the specific collected demographic data, behavior data and the health measurements data in the e-healthcare system. It is found that the discovered rules are useful for the care management tasks in the elderly healthcare service.Originality/valueKnowledge discovery in databases uses various data mining techniques and rule-based artificial intelligence algorithms. This paper demonstrates complete processes on how an e-healthcare system connected with IoTs can support the elderly care services via a data collection phase, data analysis phase and data reporting phase by using the FARM to evaluate the fuzzy sets of the data attributes. The caregivers can use the discovered rules for proactive decision support of healthcare services and to improve the overall service quality by enhancing the elderly healthcare service responsiveness.

Crossing the finish line faster when paddling the data lake with KAYAK

Paddling in a data lake is strenuous for a data scientist. Being a loosely-structured collection of raw data with little or no meta-information available, the difficulties of extracting insights from a data lake start from the initial phases of data analysis. Indeed, data preparation, which involves many complex operations (such as source and feature selection, exploratory analysis, data profiling, and data curation), is a long and involved activity for navigating the lake before getting precious insights at the finish line. In this framework, we demonstrate KAYAK, a framework that supports data preparation in a data lake with ad-hoc primitives and allows data scientists to cross the finish line sooner. KAYAK takes into account the tolerance of the user in waiting for the primitives' results and it uses incremental execution strategies to produce informative previews of these results. The framework is based on a wise management of metadata and on features that limit human intervention, thus scaling smoothly when the data lake evolves.

A Network Model for an Urban Bike Sharing System

In this paper, we study and implement a model of the “ToBike” bike sharing system, located in the city of Turin, Italy. The system is modeled through a closed queuing network. A thorough data analysis phase is executed on the logged dataset provided by the service provider, to assess the stationarity properties of the system and to estimate the system parameters. In particular, customer arrival rates, not directly available, are estimated from station throughput measurements through a sparse optimization technique. The parameters are then used to perform predictions of the system behavior over an unseen validation dataset. While the accuracy provided by asymptotic methods, like mean value analysis, is quite limited, numerical simulations of the closed queueing network offer viable predictions, especially when realistic behavioral patterns for the customer behavior are considered.

Embodied situatedness and emotional entanglement in research – An autoethnographic hybrid inquiry into the experience of doing data analysis

AbstractBackgroundIn clinical practice, counsellors and psychotherapists rely heavily on their emotional and embodied responses as part of their data gathering. What happens with this epistemological positioning when we generate knowledge in therapy research? Aim: As therapists– researchers, we are intrigued by what Bondi (2012, Qualitative Inquiry, 19, 9) refers to as a gap between therapeutic practice and research. There are many angles to this ‘gap’, but we have focused on the how to conceptualise and act on our embodied responses during our data analysis phase, with an interest in the emotional entanglement between researchers and the researched.Materials & MethodsThere is relatively little written about therapists’ relational, emotional or embodied response during the data analysis stage. Using some experiences from a recent mixed‐method study into the impact of training on multilingual therapists, we will revisit our research process within an autoethnographic hybrid (Stanley 2013) approach, influenced by introspective and intersubjective reflexivity (Finlay and Gough, 2003, Reflexivity: A practical guide. London: Blackwell) with personal experience as a route through which to produce academic knowledge.ResultsThe study involved emotional entanglement on different levels; linguistically, personally and as an underpinning grappling with worldviews in light of the researchers’ different epistemic origins.Concluding DiscussionBeing in a no‐mans‐land between old and new understandings triggered a sense of loss of theory and challenged temporarily our sense of selves. Bion (1961, Learning from experience. London: Karnac) and Gendlin (1997, A process model. New York: Focusing Institute) are examples of ‘frameworks’ which helped to welcome the feeling of lost‐ness, rather than feeling threatened and overwhelmed. The process reminds of the epistemic positioning we learn to adopt in our therapeutic practice. Gendlin (1997) refers to this kind ‘staying with’ the ‘body‐feel’ as means of generating new understandings. The purpose of this article has not been to offer a step by‐step approach to data analysis, but rather to join Stanley's (2013, Journal of Contemporary Ethnography, 44, 143) ‘call for accounts’ about what it feels like to do research. Some stages involved excitement, growth, harmony and enrichment, other felt surprisingly unsettling as our own prior understanding expanded. This article only scrapes the surface but might stimulate further discussions around the researcher's use of self at different stages of the process. Therapists are increasingly encouraged to develop research informed practice; this article suggests that our attention also turns to practice informed research, to create platforms for discussions around emotional entanglement with greater epistemic congruence between relational, emotionally attuned practice for both therapists and researcher.

Effect of blended learning to academic achievement

In this study, the effects of blended learning on the middle school students’ academic achievement level and product evaluation scores were investigated. Blended learning provides more effective learning outcome gains through enriching todays’ developing Web Technologies with learning environments. This study was carried out with a total of 53 students enrolled in the experimental group and control group in the 6th grade classrooms during the 2014/2015 school year in a middle school in southwest part of Turkey. The intervention lasted 7 weeks. During the seven weeks, the unit of “problem solving, computer programming and development of Software product”, covered in Educational technologies and Software course, is taught through blended learning environment. The experimental group was taught using blended learning environment which supported with enriched web technologies (such as video-conference, Learning Management System, Discussion blogs , etc.). Whereas the experimental group was given access to all these enriched contents that are presented to the control group only during the classroom environment through present teaching methods.The design of the study includes quantitative method. We collected quantitative data such as academic achievement test and product evaluation scale. Academic achievement test and product evaluation scale were used as quantitative data collection sources. Quantitative data was collected through the evaluation of students’ projects that they developed during the process of the study and the academic achievement tests. During the data analysis phase, independent t-test, frequency and ANOVA tests were used. As a result of this study, it is concluded that blended learning environment had generated a significant difference in students’ academic achievement on behalf of experimental group. Implications of the study for the educational environments were discussed.

PENGEMBANGAN FASILITAS WISATA TAMAN NARMADA KABUPATEN LOMBOK BARAT

Narmada Park is one of the cultural heritage sites that breathe Hinduism which is a historic relic of the entry of Hinduism on the island of Lombok. Narmada Park is also one of the tourist attraction with its main potential is the park, profane building which is a relic of Raja Anak Agung Gde Ngurah Karangasem and pond. The existence of Narmada Park is currently not widely known by the tourists who come to the island of Lombok, this causes the Park Narmada become one of the tourist attractions in Lombok with the number of visitors the smallest arrivals.The background of the small number of visitors who come to Narmada Park due to lack of visitor facilities, can be seen from the access of visitors who are not directed because many visitors who enter the area of Narmada Park through the entrance for the Hindus who will worship. Narmada Park tour route that has not been well arranged to cause visitors feel not directional when doing tours within the area of Narmada Park. The manager building that is not functioning properly causes maintenance of every area of the park is not maintained so that the beauty of the garden becomes reduced. This paper is a case study using the research method that is, the stage of formulating the initial idea, the initial idea maturation stage, the data collection phase through the literature study, field observation and interviews, the study area zoning stage, the data analysis phase, the data synthesis stage, and the design phase .The development of Narmada Park tourism facilities is expected to keep the heritage of the cultural heritage that has been, making Narmada become one of Lombok tourism destinations with facilities that can meet the needs of visitors, able to make visitors feel the feel of the kingdom as the former heyday, so that later can help improve the economy of local people .Keywords: facilities, cultural heritage, history, visitors, economy.

Efficient data structures for mobile de novo genome assembly by third-generation sequencing

Mobile/portable (third-generation) sequencing technologies, including Oxford Nanopore’s MinION and SmidgION, are revolutionizing once again –after the advent of high-throughput sequencing– biomedical sciences. They combine an increase in sequence length (up to hundred thousands of bases) with extreme portability. While a sequencer now fits the palm of a hand and needs only a USB outlet or a mobile phone/tablet to work, the data analysis phases are bound to an available Internet connection and cloud computing. This somehow hampers the portability paradigm, especially if the technology is used in resource-limited settings or remote areas with limited connectivity. In this work, we introduce efficient data structures to effectively enable portable data analytics by means of third-generation sequencing. Specifically, we show how sequence overlap graphs (fixed length k-mers, with an extension on variable lengths) can be built and stored on a mobile phone, thereby allowing the execution of de novo genome assembly algorithms (along with ad-hoc strategies for error correction) without the need of transfer data over the Internet nor execution on a desktop.

Stigma and Its Impact on Glucose Control Among Youth With Diabetes: Protocol for a Canada-Wide Study.

BackgroundStigma in chronic disease involves unwarranted rejection, judgement, or exclusion by others based on the chronic disease itself.ObjectiveWe aim to determine the prevalence of stigma among youth and young adults with type 1 diabetes in Canada, to assess associations between stigma and glycemic control, and to explore ways to address stigma related to type 1 diabetes.MethodsThe study includes 3 distinct phases: (1) refinement of survey questions, (2) assessment of test-retest reliability, and (3) a data collection and analysis phase (online survey and mailed-in capillary blood sample to assess hemoglobin A1c). A total of 380 youth and young adults (14 to 24 years old) with type 1 diabetes are being recruited through social media and clinic posters.ResultsPhases 1 and 2 are complete, and phase 3 is in progress. Thirty participants completed phase 2. The survey includes the Barriers to Diabetes Adherence in adolescent scale (intraclass correlation [ICC]=0.967, 95% CI 0.931-0.984), the Self-Efficacy for Diabetes Self-Management measure (ICC=0.952, 95% CI 0.899-0.977), the World Health Organization-5 Well-Being Index (ICC=0.860, 95% CI 0.705-0.933), 12 closed-ended questions, and an additional 5 open-ended questions to explore challenges and solutions developed by the team of experts, including a patient representative.ConclusionsThis will be the first large-scale survey to estimate the prevalence of stigma in young people with type 1 diabetes. The results of this study will allow for an appreciation of the magnitude of the problem and the need for developing and implementing solutions. This work is intended to provide an initial understanding of youth perspectives on the challenges of living with type 1 diabetes and will serve as a foundation for future research and action to help youth improve their experience of living with diabetes.Trial RegistrationClinicalTrials.gov NCT02796248, https://clinicaltrials.gov/ct2/show/NCT02796248 (Archived at http://www.webcitation.org/6mhenww3o).

Understanding Jordanian Women's Values and Beliefs Related to Breast Cancer: A Focused Ethnography.

To understand Jordanian women's beliefs and values related to breast health and how these beliefs influence their decisions to receive breast cancer screening. A focused ethnography method was used; 31 key informants were recruited from Ma'an city located in the southern part of Jordan. Data were collected using semistructured interviews. Leininger's four phases of qualitative data analysis. Three major themes were identified: (a) Feeling of embarrassment, fear, denial, and lack of knowledge are common experience among women regarding breast cancer screening; (b) Hesitancy on the part of health care professionals to offer education about breast health and screening; and (c) Willingness to learn about breast health and cancer screening. Based on the findings, it is recommended that nurses be trained about breast assessment and additional resources mobilized for mammography and health promotion programs targeting rural Jordan.

Employee Recruitment: Question Formation for Employment Interviews Based on Facial Cue Analytics

Prior research works have revealed that a relationship lies between a gainful interviewee and facial cues exhibited during the interview process. This study is focused on the formation of th e questions to examine the interviewee which will use nonverbal behavioral cues presented. From nonverbal behavioral factors, ‘Facial expression variation’ was taken into the consideration with the assistance of a facial expression analysis tool. As such, this research proposes a novel approach in question formation for the assessment of interviewees. In the data collection and analysis phases of the study, qualitative and quantitative approaches have been followed. These approaches were used to identify the personality traits required in the IT related recruitments and to identify the traits that employed IT personnel already possess. Mock interviews were conducted to identify the valid questions that show a high sensitivity with facial expression variations while a tool was used to extract facial cues of the candidates. Seven primary emotions were captured with this approach during the interview. The facial emotions of joy, anger, contempt, disgust, fear, sadness, surprise were identified during the interview period which provided the percentage values for the emotional engagement of the candidate. Based on the video analytics, five questions were reported with a high emotional engagement values, three with an average variation level and remaining did not have a significant variance in candidate responses. During the final phase of this research, a cross reference analysis was conducted. For this analysis, data sets of emotional engagement were cross checked against the rankings given by the human raters regarding the extent of the question and response in total helped them to take the hiring decision. The evaluation of the results was done by comparing the result set obtained through video analytics with Human Rater result set obtained. Therefore, this research study and its suggested scientific approaches would assist the recruiters with identifying the set of questions which affect the recruitment decisions of their organizations in future.

Preparation and Cluster Analysis of Data from the Industrial Production Process for Failure Prediction

Abstract This article is devoted to the initial phase of data analysis of failure data from process control systems. Failure data can be used for example to detect weak spots in a production process, but also for failure prediction. To achieve these goals data mining techniques can be used. In this article, we propose a method to prepare and transform failure data from process control systems for application of data mining algorithms, especially cluster analysis.

KONSTRUKSI TES KEBAHASAAN UAS SD DI KABUPATEN MADIUN

<p>Language learning is aimed to achieve proficiency properly. To achieve objectives of language learning cannot be separated from aspects of grammar. One way to achieve the grammatical aspect is by using a test. The purpose of language test is ability and skill in language not knowledge about language. Range of aspects are measured based on the types of tests used in the test questions at the end of the learning/ formative. This research aimed to determine language aspects tested at the end of each semester. This study used a qualitative approach and data sources in the form of the exam end of semester 1 and 2 grade 1 to grade 6. Techniques of data collection is done by collecting data source in the field and read the data source. Data analysis phase consists of three stages: data reduction, classification, presentation of data and drawing conclusions. The results showed there were aspects of language such as phonology, morphology aspect which consists of free and bound morpheme, the process of reduplication or repetition, syntactic aspects that form phrases and sentences as well as aspects such as semantic meaning.</p><p> </p><p> </p>

Big data challenges in ocean observation: a survey

Ocean observation plays an essential role in ocean exploration. Ocean science is entering into big data era with the exponentially growth of information technology and advances in ocean observatories. Ocean observatories are collections of platforms capable of carrying sensors to sample the ocean over appropriate spatiotemporal scales. Data collected by these platforms help answer a range of fundamental and applied research questions. Many countries are spending considerable amount of resources on ocean observing programs for various purposes. Given the huge volume, diverse types, sustained measurement, and potential uses of ocean observing data, it is a typical kind of big data, namely marine big data. The traditional data-centric infrastructure is insufficient to deal with new challenges arising in ocean science. New distributed, large-scale modern infrastructure backbone is urgently required. This paper discusses some possible strategies to solve marine big data challenges in the phases of data storage, data computing, and analysis. Some applications in physics, chemistry, geology, and biology illustrate the significant uses of marine big data. Finally, we highlight some challenges and key issues in marine big data.

La vigilancia de los determinantes sociales de la salud

Public health surveillance is the systematic and continuous collection, analysis, dissemination and interpretation of health-related data for planning, implementation and evaluation of public health initiatives. Apart from the health system, social determinants of health include the circumstances in which people are born, grow up, live, work and age, and they go a long way to explaining health inequalities. A surveillance system of the social determinants of health requires a comprehensive and social overview of health. This paper analyses the importance of monitoring social determinants of health and health inequalities, and describes some relevant aspects concerning the implementation of surveillance during the data collection, compilation and analysis phases, as well as dissemination of information and evaluation of the surveillance system. It is important to have indicators from sources designed for this purpose, such as continuous records or periodic surveys, explicitly describing its limitations and strengths. The results should be published periodically in a communicative format that both enhances the public's ability to understand the problems that affect them, whilst at the same time empowering the population, with the ultimate goal of guiding health-related initiatives at different levels of intervention.

Perceptions of an Anticipated Bilingual Education Program in Turkey

Bilingual education is globally an important aspect within the educational community in recent years. The purpose of the study is to explore perceptions towards a bilingual education program and investigate factors that may affect the development of a bilingual education program in Turkey. This study also identifies the benefits of bilingualism in Turkey. The study employed an explanatory sequential mixed method design, which consisted of a quantitative phase followed by a qualitative phase. Data were collected from 40 participants who were graduate students, faculty members, and K-12 teachers. Descriptive analysis was used in the first phase of data analysis; thematic analysis was used in the second phase. A bilingual education program in Turkey might solve the conflict between different ethnic groups. Findings from both phases of data analysis indicated that people in the research group have affirmative perspectives towards a bilingual education program in Turkey.

East Asian Students’ Experiences of Learning Dance/Movement Therapy in the US: A Phenomenological Investigation

This phenomenological study aims to explore the lived learning experiences of international East Asian dance/movement therapy (DMT) students who completed their DMT training in the United States (U.S.) and then returned to their home countries. The researcher sought to explore how participants experienced their Western DMT education. Six participants were recruited from four East Asian countries: Korea, Hong Kong, Japan, and Taiwan, and participated in individual interviews. The NVivo10 software program was used as a tool to ensure efficient organization. Peer debriefing and member checking were used in different phases of data analysis to enhance internal validity. Ultimately, data analysis revealed four themes and 15 categories. The four themes that emerged were (a) challenges in DMT training in the U.S.; (b) contrasts between classroom cultures; (c) aspects that helped participants to adjust in class; (d) DMT as a catalyst for personal and professional development and growth. Each theme gave rise to its own unique categories that emerged from the process of data analysis. The findings support previous studies on culturally competent teaching and differences in learning styles. The researcher hopes that this study will contribute to the creation of a meaningful and educational steppingstone between the East and West in the DMT field.

Content and discontent: a qualitative exploration of obstacles to elearning engagement in medical students.

BackgroundElearning is ubiquitous in healthcare professions education. Its equivalence to ‘traditional’ educational delivery methods is well established. There is a research imperative to clarify when and how to use elearning most effectively to mitigate the potential of it becoming merely a ‘disruptive technology.’ Research has begun to broadly identify challenges encountered by elearning users. In this study, we explore in depth the perceived obstacles to elearning engagement amongst medical students. Sensitising concepts of achievement emotions and the cognitive demands of multi-tasking highlight why students’ deeply emotional responses to elearning may be so important in their learning.MethodsThis study used focus groups as a data collection tool. A purposeful sample of 31 participated. Iterative data gathering and analysis phases employed a constant comparative approach to generate themes firmly grounded in participant experience.ResultsKey themes that emerged from the data included a sense of injustice, passivity and a feeling of being ‘lost at sea’. The actual content of the elearning resource provided important context.ConclusionsThe identified themes have strong emotional foundations. These responses, interpreted through the lens of achievement emotions, have not previously been described. Appreciation of their importance is of benefit to educators involved in curriculum development or delivery.Electronic supplementary materialThe online version of this article (doi:10.1186/s12909-016-0710-5) contains supplementary material, which is available to authorized users.