Text Mining Software Research Articles

Advancing Automated Content Analysis in Knowledge Management Research

This article reports on the development of a knowledge management (KM) dictionary and its application to automated content analysis to investigate topical foci of KM publications and provide an overview of the current research landscape. While automated content analysis gains importance, a problem prevails concerning the use and analysis of compound concepts (e.g., organizational learning). Using a self-developed dictionary of KM-related compound concepts, a sample of 4,290 publications from ten top-ranked KM journals and one KM conference was analyzed using text-mining software. Based on the dictionary approach, this study investigates core research themes of the KM discipline and compares key research interests throughout the IJKM community and those of other outlets. The investigation provides guidance to identify research opportunities in KM and provides useful implications concerning the application of dictionaries. Practitioners might adapt their organizations' approaches to KM accordingly, with regard to prevailing themes and trends in KM research.

‘Tour me onshore’: understanding cruise tourists’ evaluation of shore excursions through text mining

ABSTRACTThe aim of this paper is to shed light on the elements underlying cruise tourists’ evaluation of shore excursions, approaching them as an interaction of expressive and instrumental components.To fulfil the aim of the investigation, a thematic content analysis of 1296 online reviews was conducted using the text-mining software Leximancer. The results of the study revealed that cruise visitors with different overall satisfaction with their guided tour focus the narrative of their opinion on different tour attributes. Thus, the dominant themes of the cruise passengers delighted with their tour included the performance of the tour guide, the arrangement of the tour, as well as the cruise destination sightseeing. On the other hand, instrumental components such as crowded bus tours, limited time at the port of call, and inadequate excursion design appeared to be the main aspects appointed by those unsatisfied with their onshore experience. Furthermore, the study assessed and compared the perceptions of the tour experience across cruise passengers from the contemporary, premium and luxury cruise line segments.

Comorbidities Are Major Drivers of Overall Survival of Chronic Myelomonocytic Leukemia

Introduction:Chronic myelomonocytic leukemia (CMML) is a genetically heterogeneous myeloid neoplasm characterized by the presence of both dysplastic and proliferative features and highly variable clinical outcome. A CMML specific prognostic system (CPSS) has been developed that stratifies patients in to low, intermediate and high risk groups based on WHO subtype, FAB subtype, transfusion dependent anemia, and karyotype. Somatic mutations and DNA methylation patterns can increase prognostic precision, but fail to explain a large part of the clinical variation, suggesting that additional variables, including comorbidities, may be major determinants of overall survival (OS) in CMML.Methods: We retrospectively identified CMML patients diagnosed between 1996 and 2017 at the Huntsman Cancer Hospital, University of Utah, using ICD codes, tumor registry data and electronic medical records. For all patients a diagnosis of CMML was confirmed based on 2008 WHO diagnostic criteria. Data on comorbidities at the time of diagnosis were obtained by search of electronic medical records using a customized rule based algorithm utilizing linguimatics text mining software (Natural language processing). The comorbidities were scored and categorized as per previously published reports: low, intermediate and high risk groups for MDS Comorbidity Index (MDS-CI) and low, mild, moderate/high (moderate and high included in the same group due to small number of patients) for the Charlson Comorbidity Index (CCI). Continuous variables were transformed into categorical variables, based on cutoffs used in previously published studies.Univariate analysis was performed using the Cox proportional hazards model for categories: MDS-CI (low, intermediate and high) and CCI (low, mild, moderate/high). Other variables analyzed included age (<70 or >70 years), sex (male or female), hemoglobin (<10 gm/dL or >10 gm/dL), platelet count (<100k/uL or >100k/uL), WHO subtype (CMML-0, CMML-1 and CMML-2), FAB subtype (CMML-MD or CMML-MP), karyotype (low, intermediate and high risk) and treatment with hypomethylating agents (yes or no). Kaplan-Meier methods were used for plotting OS. All analysis was performed using R statistical programming software version 3.2.1 (The R Foundation for Statistical Computing, Vienna, Austria). Results shown are censored at the time of allogeneic stem cell transplant. For OS the “Low” category is reference and the p-values are for comparison to this category using the Cox model.Results: We identified 94 patients with confirmed diagnosis of CMML. The median age was 76 (range 33-91 years) and 61 patients were men (65%). Fifty-five (58.5%), 34 (36.2%) and 5 (5.3%) patients were categorized as MDS-CI low, intermediate and high risk respectively. Sixty-two (66%), 26 (27.6%) and 6 (6.4%) were categorized as low, mild and moderate/high CCI risk. Hazard ratios (HR) for MDS-CI risk categories were: intermediate=1.26 (95% CI 0.71 to 2.23; p=0.425) and high risk=2.22 (95% CI 0.86-5.75); p=0.101). HR for CCI risk categories were: mild=1.01 (95% CI 0.56-1.82; p=0.964) moderate/high=4.18 (95% CI 1.57 to 11.10; p=0.004). HR for other variables are shown in Table 1. Kaplan-Meier curve representing the OS of the entire cohort categorized according to CCI and MDS-CI risk categoriesis shown in Figure 1. Estimated median survival for MDS-CI low, intermediate and high is 36, 36, and 23 months respectively. Median survival for CCI-CI low, mild, moderate/high risk categories was 36, 33, and 10 months respectively (Figure 1).Conclusions: High risk CCI and MDS-CI category patients are at markedly higher risk of death, suggesting that co-morbidities are major host-related determinant of OS in CMML. Given the association of clonal hematopoiesis of indeterminate potential (CHIP) with coronary heart disease (Jaiswal et al. N Engl J Med 2017; 377:111-121) and the fact that CHIP genes such as TET2are frequently mutated in CMML, it is conceivable that CMML causally contributes to comorbidities. Somatic mutation data are being collected for inclusion in a multivariate model that will be presented at the conference. DisclosuresShami:JSK Therapeutics: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Lone Star Biotherapies: Equity Ownership; Pfizer: Consultancy; Baston Biologics Company: Membership on an entity's Board of Directors or advisory committees. Kovacsovics:Abbvie: Research Funding; Amgen: Honoraria, Research Funding. Deininger:Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Blueprint: Consultancy.

Cancer information needs according to cancer type: A content analysis of data from Japan's largest cancer information website.

The provision of information about cancer is an important aspect of cancer care. Cancer information provided online is expected to meet the needs of information seekers. Whether information needs vary according to tumor site is largely unknown. We aimed to examine similarities and differences in informational needs by cancer type. Data were collected using a questionnaire administered on Japan's largest cancer information website, “Ganjoho service”. A total of 2782 free descriptive responses in the period from April 2012 to December 2017 were analyzed using text-mining software. We identified the top 10 informational need contents, in order of appearance frequency, for eight tumor sites: gastric, colorectal, esophageal, lung, pancreatic, breast, cervical, and prostate cancer. Frequent information needs common to all tumor sites included symptoms, disease stages, treatments, chance of cure, recovery, metastasis, and recurrence. A need for information about diet, pain, side effects of treatments, complementary and alternative medicine was frequent for some tumor sites. Tumor site-specific information should include the following, according to cancer type: information of scirrhous carcinoma for gastric cancer; unusual feces for colorectal cancer; lung X-ray images for lung cancer; early detection for pancreatic cancer; adenocarcinoma, sexual activity, pregnancy, and childbirth for cervical cancer; breast conservation or reconstruction and triple negative cancer for breast cancer; test values and diagnosis and urinary problems for prostate cancer; and hormone therapy for breast and prostate cancer. Cancer information provided online should meet these frequent informational needs, considering similarities and differences of the information required according to tumor site.

The Key to the City: Using Digital Tools to Understand Tablet Provenience

Abstract Assyriologists have a variety of methods available to assign unprovenienced materials with educated certainty to its ancient site. The occurrence of specific toponyms and month names as well as the detailed study of prosopography, paleography, orthography, lexicography, tablet shape, format and sealing practices assist specialists in reconstructing the ancient context of a specific object. Now, with the fluorescence of technology, new digital tools are being developed and refined that may contribute to the complex process of provenience assignment. Text mining, the practice of deriving information from blocks of text using pattern recognition or trend analysis, has already been applied to corpora ranging from Shakespeare to Twitter. For an example of previous text mining analysis on cuneiform sources, see, ENEA’s TIGRIS Virtual Lab (http://www.afs.enea.it/project/tigris/indexOpen.php) With the ability to search for statistically significant correlations in large blocks of text following user-defined criteria and rules, statistical methods, here accessed via text mining software, have significant potential for revealing new levels of data in cuneiform texts.

User Testing an Information Foraging Tool for Ambulatory Surgical Site Infection Surveillance.

Surveillance for surgical site infections (SSIs) after ambulatory surgery in children requires a detailed manual chart review to assess criteria defined by the National Health and Safety Network (NHSN). Electronic health records (EHRs) impose an inefficient search process where infection preventionists must manually review every postsurgical encounter (< 30 days). Using text mining and business intelligence software, we developed an information foraging application, the SSI Workbench, to visually present which postsurgical encounters included SSI-related terms and synonyms, antibiotic, and culture orders. This article compares the Workbench and EHR on four dimensions: (1) effectiveness, (2) efficiency, (3) workload, and (4) usability. Comparative usability test of Workbench and EHR. Objective test metrics are time per case, encounters reviewed per case, time per encounter, and retrieval of information meeting NHSN definitions. Subjective measures are cognitive load using the National Aeronautics and Space Administration (NASA) Task Load Index (NASA TLX), and a questionnaire on system usability and utility. Eight infection preventionists participated in the test. There was no difference in effectiveness as subjects retrieved information from all cases, using both systems, to meet the NHSN criteria. There was no difference in efficiency in time per case between the Workbench and EHR (8.58 vs. 7.39 minutes, p = 0.36). However, with the Workbench subjects opened fewer encounters per case (3.0 vs. 7.5, p = 0.002), spent more time per encounter (2.23 vs. 0.92 minutes, p = 0.002), rated the Workbench lower in cognitive load (NASA TLX, 24 vs. 33, p = 0.02), and significantly higher in measures of usability. Compared with the EHR, the Workbench was more usable, short, and reduced cognitive load. In overall efficiency, the Workbench did not save time, but demonstrated a shift from between-encounter foraging to within-encounter foraging and was rated as significantly more efficient. Our results suggest that infection surveillance can be better supported by systems applying information foraging theory.

The cultural impact on social commerce: A sentiment analysis on Yelp ethnic restaurant reviews

In social commerce, ethnic culture plays an important role in the content and quality perception of customer reviews. This study examined Japanese restaurant reviews in English at Yelp.com and those in Japanese at Yelp.co.jp from a cross-cultural perspective. Using bilingual text mining software, we demonstrate that Japanese customers have significantly different sentiment distribution patterns on four basic attributes of dining experience (food quality, service, ambiance, and price fairness) than Western customers. These findings shed insights on how review contents and ratings may vary between local and foreign customers at multi-national social commerce platforms. Our findings fill a research gap of cultural influence in social commerce.

European Castles through Japanese Eyes and Minds

European castles are important and common components in the tour itineraries of Japanese tourists. There is, however, limited understanding of the way Japanese tourists view these heritage sites. The first aim of the study is to document the Japanese tourists’ views. Secondly, the researchers seek to explain the Japanese perspectives, while the third aim attempts to draw out the implications of the findings for our conceptual understanding of key, largely western-derived, perspectives on authenticity. Three representative European castles were selected as case study sites. Japanese remarks on TripAdvisor were collected as rich sources of data. The text-mining software Leximancer was used to analyse the broad themes. Manual content analysis was then employed for identifying the unique Japanese views. The interpretation of the Japanese perspectives was built on an understanding of the cultural capital they bring to the site - especially the legacy of anime (the Japanese entertainment format), natsukashii (nostalgia), meisho (famous places), mujou (the beauty of the transitory), and “power spots”. The study identified the value of internationalising the concepts of authenticity. Practical implications for marketing European castles to the Japanese are noted.

Analisi storica della produzione scientifica dei settori scientifico-disciplinari AGR05 e AGR06

Abstract: On the occasion of the reorganization of disciplinary fields (DF) which is under implementation by the MIUR (Italian Ministry for Research and Education), the scientific production of the Italian forest research in two characterizing disciplines (AGR05 Forest management and Silviculture, and AGR06 Wood technology and Forest Operation) has been qualitatively investigated over the period 2005-2017. Using a text mining software, 2.112 scientific articles indexed in the SCOPUS database were analyzed and the evolution over time of the Italian forest research in the above disciplines was examined. The results indicate that ecosystem functions and services have pushed forest research to overcome the aspects linked to wood production (which still remains an important competence of the two DFs), to tackle topics aiming to understand the functioning and functionality of forest ecosystems, provide tools for monitoring forest dynamics and highlight the contribution of forests and urban green areas in contrasting climate change in terms of adaptation and mitigation. As regards the AGR06 sector, studies on forest operations have been mainly focused on issues related to the forest-energy supply chain, while for wood technology the enhancement of structural uses, the modified wood, and the conservation of Wooden Cultural Heritage have emerged. Therefore, the reorganization of disciplinary fields must certainly take into account the traditional Italian forestry thinking and the aspects related to planning, management and close-to-nature forestry, but also the evolution of forestry research in the past 15 years, which led to an intense scientific activity and production, must be considered. In defining the new declarations, it will therefore be appropriate firstly to consider the peculiarity in the area of Agricultural Science, and then the specificity of skills and research that each one of the two sectors carries forward both jointly and separately, thus ensuring to both sectors an adequate representation in autonomous profiles and domains.

Construction automation: Research areas, industry concerns and suggestions for advancement

Abstract Construction automation has shown the potential to increase construction productivity after years of technical development and experimenting in its field. Exactly how, and the possible benefits and challenges of construction automation, though is unclear and missing from current research efforts. In order to better understand the comprehensive potential of construction automation for increasing construction productivity and the associated possible ramifications, an objective and data-driven review of the use of automation technologies in construction was done. The review was accomplished by using text mining methods on publically available written documents, covering a wide range of relevant data including scientific publications and social media. The text mining software VOS Viewer and RapidMiner Studio were used to determine the most promising areas of research through the analysis of scientific publications, and the main areas of concern of industry through the analysis of text on social media, respectively. These research areas and concerns are summarized in this paper, and based on them suggestions for industry are made to help advance the uptake of automation in construction.

Influence of a models-based physical education teacher education program on the perspectives and practices of preservice teachers

ABSTRACTA recent innovation in the United States is for university faculty to deliver models-based physical education teacher education (PETE) programs. The study described in this paper evaluated the effectiveness of one such program. Participants were three cohorts of preservice teachers (PTs). The cohorts were a non-entry cohort (NEC; n = 29), an entry cohort (EC; n = 31) that were due to enter the core PETE program, and a completion cohort (CC; n = 55). Data were collected by interviewing all three cohorts about (a) their perspectives and practices regarding physical education and (b) their acculturation, and professional socialisation. Data were analysed by categorising the PTs within each cohort as having one of four orientations (i.e. hard core coaching, moderate coaching, moderate teaching and hard core teaching) to the physical education profession from which data were then further analysed within each orientation and cohort. Data were reduced to key themes by employing Leximancer text mining software and traditional interpretive techniques. Key findings were that the PETE program appeared to have an influence on PTs, none of the PTs possessed hard core coaching orientations and a relatively large percentage of PTs had moderate teaching orientations at entry into PETE.

A bibliometric-based technique to identify emerging photovoltaic technologies in a comparative assessment with expert review

This paper compares the results of technology mapping from bibliometric analysis and results from expert review to identify emerging solar photovoltaic (PV) technologies. The bibliometric analysis is based on “Tools for Innovation Monitoring” (TIM), a new software code developed by the Joint Research Centre. With this text-mining software a set of relevant keywords is extracted through frequency analysis from a corpus of pertinent scientific publications. Keywords obtained by quantitative analysis by TIM are tested against results from qualitative cognitive analysis by an international panel of PV technology experts by means of a set of proposed indicators. The technologies identified by the PV experts are well represented amongst the most frequently occurring (highest ranked) keywords retrieved by TIM. The more salient keywords tend to correspond to the relatively more established technologies such as dye sensitised solar cells, organic PV and more recently-developed technologies such as perovskites. These high rated/developed keywords/technologies can be relatively straightforwardly detected through bibliometric analysis. Contrary to that, keywords designating the most emerging technologies like ferroelectric PV, hot carriers and multiple exciton generation solar cells tend to occur much less frequently and therefore provide weaker signals. These weak signals can be important in foresight.

Roadmapping towards sustainability proficiency in engineering education

PurposeThe purpose of this paper is to deliver a roadmap that displays pathways to develop sustainability skills in the engineering curricula.Design/methodology/approachThe selected approach to enrich engineering students with sustainability skills was active learning methodologies. First, a survey was carried out on a sample of 189 students to test the current sustainability literacy and determine the roadmap starting point. Next, a scientometric study regarding active learning methodologies was executed. A total of 2,885 articles and conference proceedings from the period 2013-2016 were retrieved from the Web of Science database. The records were then imported into text mining software to undergo a term clumping process. Annual knowledge clusters based on key terms were outputted. Finally, a roadmap was created by experts based on the annual knowledge clusters.FindingsFour annual pathways were created along the roadmap to develop sustainability skills during the four-year college course in engineering. The first consisted on promoting a recycling campaign through a circular economy. The second aimed at creating educational videos regarding sustainability. The third reinforced reasoning and argumentative skills by preparing a debate on environmental issues. The last path assumed that the student is working in internship programs and prepared him/her to apply environmental management models to solve sustainability issues within the company.Research limitations/implicationsRoadmaps should be updated approximately every two years to reflect novelty. The proposed methodology shows an easy way to create them.Practical implicationsResults from this paper, as well as the proposed methodology, can be applied to any organization forming individuals: from primary school education to employee training programs in organizations.Social implicationsThe development of sustainability skills has a direct, positive impact on professional decision-making and, ultimately, on the environment.Originality/valueThis paper presents a roadmapping process to develop sustainability competences throughout engineering college education.

An Investigation Into the Reasons Physical Education Professionals Use Twitter

Purpose: To date, there have been limited investigations relating to physical education (PE) professionals’ engagement in the use of Twitter. Consequently, the aim of the study was to investigate the reasons PE professionals use Twitter, with questions underpinned by Casey, Goodyear, and Armour’s three-level conceptual classification framework of Pedagogies of Technology. Method: The application of Leximancer text mining software was uniquely employed to text mine the survey data to determine the key themes and concepts. Results: It was discovered that PE professionals perceived the Twitter platform to be highly valuable to connect with others in the profession, learn from others, and share ideas (both within schools and more broadly) via a convenient, usable form of technology. Discussion/Conclusions: Understanding the reasons PE professionals use Twitter can provide a broader understanding for those contemplating the utilization of this platform and inform future Twitter/social media research directions for the field of PE.

One youth soccer coach’s maiden implementation of the Tactical Games Model

This paper utilizes a collaborative action research design to investigate one youth soccer coach’s maiden implementation of the Tactical Games Model (TGM). Consequently, this study aims to add to the paucity of research regarding coaches use of Game-Centered Approaches (GCAs), in particular the TGM. The study took place over eight, one-hour coaching sessions, which were conducted with a U12 competitive (travel) soccer team. The coach, Ian, was a licensed soccer coach and an undergraduate physical education student who had previously been exposed to the TGM in his university coursework. Data were collected through observation of model benchmarks in three of the TGM sessions (2, 4 and 6), the completion of Post-Session Teaching Reflective Analyses (PTRA; Dyson, 1994) and three semi-structured interviews. Model benchmark data were analyzed descriptively while PTRA and interview data were analyzed using the Lexminacer text mining software to generate themes and concepts. Findings showed that model benchmark fidelity improved as the coach became more familiar with TGM in his coaching setting. The main concepts generated from the Leximancer analysis were: ‘players’, ‘session’, ‘time’, ‘games’, and ‘physical’, which suggests a major shift in coaching practice occurred in alignment with Light’s (2013) four features of game-centered pedagogy. This current study makes two main contributions. First, it adds further contextual evidence of the benefits and challenges of incorporating TGM into other neophyte youth sports coaches’ practice. Second, it serves as a methodological template for further investigations into the micropedagogies of youth sport coaches’ practice when using GCAs such as the TGM.

5th International Conferences on Geological,Geographical, Aerospaces and Earth Sciences 2017 (5th AeroEarth 2017)

1. Professor Dr Ah-Hwee TanProfessor of Computer Science Associate Chair (Research) School of Computer Science and Engineering Nanyang Technological University - SingaporeTitle: Biologically-inspired Machine Learning Theory for Knowledge Discovery:Machine learning and knowledge discovery are two critical intertwined functions in next generation intelligent information systems. This talk will present a family of self-organizing neural networks, collectively known as fusion Adaptive Resonance Theory (fusion ART), for building intelligent knowledge-based systems with real-time learning capabilities. By extending the Adaptive Resonance Theory (ART) models, consisting of a single input pattern field, into a multi-channel architecture, fusion ART unifies a number of important neural network designs developed over the past decades. Based on a universal set of neural encoding and adaptation principles, fusion AT supports a myriad of machine learning paradigms, notably unsupervised learning, supervised learning, and reinforcement learning. In addition, domain knowledge in the form of symbolic rules can be inserted into fusion ART and subsequently refined as part of the network's dynamics, which maximizes exploitation of the existing knowledge while retaining the plasticity of exploring new solutions. Case studies will be presented, illustrating how such self-adaptive intelligent systems may be used as autonomous Non-Player Characters (NPC) in first-person shooting games, Computer Generated Forces (CGF) in air combat simulation, and human-like avatars in 3D virtual environment.Biography:Dr Ah-Hwee Tan received Ph.D. in Cognitive and Neural Systems from Boston University, Master of Science and Bachelor of Science (First Class Honors) in Computer and Information Science from the National University of Singapore. He is currently a Professor of Computer Science and the Associate Chair (Research) at the School of Computer Science and Engineering (SCE), Nanyang Technological University. Prior to joining NTU, he was a Research Manager at the A*STAR Institute for Infocomm Research (I2R), heading the Text Mining and Intelligent Agents research programmes. His current research interests include cognitive and neural systems, brain-inspired intelligent agents, machine learning, and text mining. Dr. Tan has published ten edited books/proceeding volumes and over 200 technical papers in major international journals and conferences of his fields. He holds two US patents, five Singapore patents, and has spearheaded several A*STAR projects in commercializing a suite of knowledge management and text mining software. He serves as Associate Editor/Editorial Board Member of several journals, including IEEE Access, IEEE Transactions on Neural Networks and Learning, and IEEE Transactions on SMC Systems. He is a Senior Member of IEEE, a Member of Web Intelligence (WI) Technical Committee and Web Intelligence (WI) Conference Steering Committee, and Vice Chair of IEEE CIS Task Force on Towards Human-Like Intelligence.2. Professor Dr. Ida Ayu Dwi GiriantariTitle: The role of Geothermal Energy in Indonesia: Geothermal energy is heat energy generated and stored in the Earth. Thermal energy is the energy that determines the temperature of matter. The geothermal energy of the Earth's crust originates from the original formation of the planet and from radioactive decay of materials (in currently uncertain but possibly roughly equal proportions). The geothermal gradient, which is the difference in temperature between the core of the planet and its surface, drives a continuous conduction of thermal energy in the form of heat from the core to the surface.In the 20th century, demand for electricity led to the consideration of geothermal power as a generating source. Indonesia Power Electricity tested the first geothermal power generator on 4 July 1978, at the same dry steam field where geothermal acid extraction began. It successfully lit four light bulbs. Later, in 1990, the Indonesia's first commercial geothermal power plant was built.Short Bio:Ida Ayu Dwi Giriantari is Professor in Electrical Engineering Udayana University. She hold PhD from The University of New South Wales in 2003. Her research areas are in Power Plant, Renewable Energy and Power Transformers.She is Head of Magister Program of Electrical Engineering, Udayana University.

Characterisation of Academic Journal Publications Using Text Mining Techniques

The ever-growing volume of published academic journals and the implicit knowledge that can be derived from them has not fully enhanced knowledge development but rather resulted into information and cognitive overload. However, publication data are textual, unstructured and anomalous. Analysing such high dimensional data manually is time consuming and this has limited the ability to make projections and trends derivable from the patterns hidden in various publications. This study was designed to develop and use intelligent text mining techniques to characterise academic journal publications. Journals Scoring Criteria by nineteen rankers from 2001 to 2013 of 50th edition of Journal Quality List (JQL) were used as criteria for selecting the highly rated journals. The text-miner software developed was used to crawl and download the abstracts of papers and their bibliometric information from the articles selected from these journal articles. The datasets were transformed into structured data and cleaned using filtering and stemming algorithms. Thereafter, the data were grouped into series of word features based on bag of words document representation. The highly rated journals were clustered using Self-Organising Maps (SOM) method with attribute weights in each cluster.

The Curriculum Analysis of Senior Education in Physical Education (CASE-PE) study

The importance of senior secondary school physical education (PE) is underscored by the assessment of learning outcomes being linked to future access to higher education, employment and further training. Yet within the broad spectrum of PE studies, the investigation of senior secondary school PE has been limited. This article serves the purpose of exploring the key concepts and themes from senior secondary PE syllabi across Australian states and territories. The Leximancer text-mining software was applied as an innovative tool for the exploratory conceptual and thematic analyses within the Curriculum Analysis of Senior Education in Physical Education (CASE-PE) study. A number of similar themes emerged within the CASE-PE study from across the state and territory senior physical education syllabi, including skills, physical, learning, assessment, study, use, performance and training. A number of themes were unique to each state and territory and major concepts had differing levels of relevance. This article provides insights into an under-theorised and -explored part of the Australian curriculum and PE literature. We conclude there is a need for greater uniformity in senior secondary PE curricula and its underpinnings in the future.

Navigating the changes in management education through content analyses of papers published in JME

The purpose of this paper was to analyze the published research in the field of management education by focusing specifically on the Journal of Management Education (JME). As the criticisms of management education have changed dramatically over time, analyzing the focus of the JME over the past quarter-century will help us understand which criticisms have been addressed, and which still require attention. We extracted all abstracts and titles of papers published in JME since 1991, which consisted of 894 abstracts that included more than one hundred thousand words. We used the text mining software, Leximancer, which employs an unstructured machine learning approach, to extract the fundamental concepts of management education in those abstracts and determine whether research in management education addresses the current concerns in the field.

In silico study shows arsenic induces P1B ATPase gene family as cation transporter by abscisic acid signaling pathway in seedling of Sorghum bicolor

Human exposure to arsenic has increased rapidly with the expansion of industrial activity and its toxicity raises concerns for public health. Arsenic remediation by plants is regarded as suitable avenue to a safer environment. Transporters facilitate remediation by transporting negative ions, but the contribution of cationic transporters to anionic remediation has not been fully studied. To determine which transporter is involved in anion and cation toxicity, the P1B ATPase gene family and arsenic and cadmium expression network relations were navigated using text mining software. The extracted pathways were tested and analyzed in silico and by gene expression detection. The results show that many putative pathways exist between arsenic and cadmium and P1B ATPases to stimulate expression or inhibition of this family. This study showed that arsenic stimulates expression of the P1B ATPase transporter through the abscisic acid signaling pathway. This cascade, as the end section of the arsenic stimulation pathway on P1B ATPase, was improved and investigated. The experimental results show that expression of P1B ATPase increased in response to arsenic exposure in Sorghum bicolor. The putative network contained abscisic acid- and glucose-related pathways for arsenic and ZIP8-related pathways for cadmium.