scholarly journals Independent mobility for persons with VIB using GIS

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Susanne Zimmermann-Janschitz ◽  
Simon Landauer ◽  
Sebastian Drexel ◽  
Jana Obermeier
Keyword(s):  
User Interface ◽  
Routing Algorithm ◽  
Medium Size ◽  
User Profiles ◽  
Independent Mobility ◽  
Trip Planning ◽  
Data Set ◽  
Content Type ◽  
Open Government Data ◽  
Automated Processes

Purpose The study aims to promote independent mobility for persons with visual impairment or legal blindness (VIB) by developing a Web-based wayfinding application using geographic information systems (GIS). While the literature mainly focuses on technical devices presenting results for wayfinding, a lack of integration of user needs is identified. The inclusive, participative developed application offers step-by-step directions for pre-trip planning through an accessible user interface. Design/methodology/approach The paper presents a semi-automated approach to extract a pedestrian routing network data set based on open government data and field survey. User profiles calculate different routes using a weighting scheme for landmarks, orientation hints, infrastructure of crossings and sidewalks. The adoption of ArcGIS Web AppBuilder widgets allows access of the user interface additionally through keyboard-only navigation and therefore screen-reader capability. Findings GIS offers a powerful tool to design network analysis for persons with VIB. The routing algorithm accesses different user profiles, returning individualized turn-by-turn directions. The complex set of attributes, including shorelines, landmarks and barriers, can be integrated by semi-automated processes. Practical implications The paper illustrates the benefit of GIS applications for wayfinding of persons with VIB to raise self-determination and independence. Originality/value A ubiquitous pedestrian sidewalk network for a medium-size city comprises a novelty, as research has mainly focused on small areas. The integration of shorelines next to a various number of hints, landmarks and potential barriers through semi-automated processes allows reproducibility and transferability of the model to other cities.

A graph-based approach for representing, integrating and analysing neuroscience data: the case of the murine basal ganglia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maren Parnas Gulnes ◽  
Ahmet Soylu ◽  
Dumitru Roman
Keyword(s):  
User Interface ◽  
Basal Ganglia ◽  
Ad Hoc ◽  
Graph Model ◽  
Third Party ◽  
Data Sources ◽  
Data Set ◽  
Content Type ◽  
Related Data ◽  
Neuroanatomical Data

PurposeNeuroscience data are spread across a variety of sources, typically provisioned through ad-hoc and non-standard approaches and formats and often have no connection to the related data sources. These make it difficult for researchers to understand, integrate and reuse brain-related data. The aim of this study is to show that a graph-based approach offers an effective mean for representing, analysing and accessing brain-related data, which is highly interconnected, evolving over time and often needed in combination.Design/methodology/approachThe authors present an approach for organising brain-related data in a graph model. The approach is exemplified in the case of a unique data set of quantitative neuroanatomical data about the murine basal ganglia––a group of nuclei in the brain essential for processing information related to movement. Specifically, the murine basal ganglia data set is modelled as a graph, integrated with relevant data from third-party repositories, published through a Web-based user interface and API, analysed from exploratory and confirmatory perspectives using popular graph algorithms to extract new insights.FindingsThe evaluation of the graph model and the results of the graph data analysis and usability study of the user interface suggest that graph-based data management in the neuroscience domain is a promising approach, since it enables integration of various disparate data sources and improves understanding and usability of data.Originality/valueThe study provides a practical and generic approach for representing, integrating, analysing and provisioning brain-related data and a set of software tools to support the proposed approach.

Drivers and barriers to re-use Open Government Data (OGD): a case study of open data initiative in Philippines

2018 ◽  
Vol 20 (4) ◽  
pp. 358-368 ◽  
Author(s):  
Stuti Saxena
Keyword(s):  
Developed Countries ◽  
The Philippines ◽  
Open Government ◽  
Research Approach ◽  
Data Sets ◽  
Data Set ◽  
Content Type ◽  
Open Government Data ◽  
Government Data ◽  
User Friendly

Purpose Given that the Open Government Data (OGD) initiatives of any country are founded on principles of transparency and accountability, it is important that the data sets permit a user-friendly interface for the data sets to be re-used. This paper aims to underline the major drivers and barriers to re-use the data sets in the context of the Philippines. Design/methodology/approach In line with the model proposed by Sieber and Johnson (2015), the paper invoked an investigation of the national OGD portal of the Philippines following a documentary analysis research approach. Findings The OGD portal of the Philippines permits data search and sharing via social media. Data sets are available in user-friendly formats with a detailed description of the data set itself in the form of metadata. At the same time, the OGD portal of the Philippines has many barriers to re-use. Data sets are not current, and no attempts have been made at updating the records. While the provision of data mapping is provided, the same is not effective as of now. Conducting statistical analysis is not possible online and some of the links are not active. Finally, users’ suggestions are acknowledged, but the contribution of users toward the existing data sets is not permitted as of now. Research limitations/implications Given that only a single country’s OGD initiative has been investigated in the study, further research is warranted to undertake a comparative analysis of OGD institutionalization across different countries. Practical implications Government authorities are encouraged to be more proactive in furthering the OGD initiative. Policymakers and practitioners may appreciate the underlying barriers in re-using the data sets and seek to address these concerns. Originality/value The OGD initiative of the Philippines has not been investigated so far despite the rising tide of the OGD initiatives across the globe. Given that most of the research on OGD is focused in developed countries, the present study seeks to contribute toward the extant literature by investigating the OGD portal of the Philippines and underlining the major drivers and barriers in re-using the data sets available via the portal.

Predicting users’ demographic characteristics in a Chinese social media network

2017 ◽  
Vol 35 (4) ◽  
pp. 758-769 ◽  
Author(s):  
Qiangbing Wang ◽  
Shutian Ma ◽  
Chengzhi Zhang
Keyword(s):  
Social Media ◽  
Vector Space Model ◽  
Geographic Location ◽  
Classification Model ◽  
User Profiles ◽  
Data Set ◽  
Content Type ◽  
Space Model ◽  
Social Media Network ◽  
Chinese Social Media

Purpose Based on user-generated content from a Chinese social media platform, this paper aims to investigate multiple methods of constructing user profiles and their effectiveness in predicting their gender, age and geographic location. Design/methodology/approach This investigation collected 331,634 posts from 4,440 users of Sina Weibo. The data were divided into two parts, for training and testing . First, a vector space model and topic models were applied to construct user profiles. A classification model was then learned by a support vector machine according to the training data set. Finally, we used the classification model to predict users’ gender, age and geographic location in the testing data set. Findings The results revealed that in constructing user profiles, latent semantic analysis performed better on the task of predicting gender and age. By contrast, the method based on a traditional vector space model worked better in making predictions regarding the geographic location. In the process of applying a topic model to construct user profiles, the authors found that different prediction tasks should use different numbers of topics. Originality/value This study explores different user profile construction methods to predict Chinese social media network users’ gender, age and geographic location. The results of this paper will help to improve the quality of personal information gathered from social media platforms, and thereby improve personalized recommendation systems and personalized marketing.

An approach to support the construction of adaptive Web applications

2020 ◽  
Vol 16 (2) ◽  
pp. 171-199
Author(s):  
Leandro Guarino Vasconcelos ◽  
Laercio Augusto Baldochi ◽  
Rafael Duarte Coelho Santos
Keyword(s):  
User Interface ◽  
Real Time ◽  
User Experience ◽  
Web Application ◽  
Web Applications ◽  
User Profiling ◽  
User Profiles ◽  
Content Type ◽  
Usage Patterns ◽  
The Rich

Purpose This paper aims to presents Real-time Usage Mining (RUM), an approach that exploits the rich information provided by client logs to support the construction of adaptive Web applications. The main goal of RUM is to provide useful information about the behavior of users that are currently browsing a Web application. By consuming this information, the application is able to adapt its user interface in real-time to enhance the user experience. RUM provides two types of services as follows: support for the detection of struggling users; and user profiling based on the detection of behavior patterns. Design/methodology/approach RUM leverages the previous study on usability evaluation to provide a service that evaluates the usability of tasks performed by users while they browse applications. This evaluation is based on a metric that allows the detection of struggling users, making it possible to identify these users as soon as few logs from their interaction are processed. RUM also exploits log mining techniques to detect usage patterns, which are then associated with user profiles previously defined by the application specialist. After associating usage patterns to user profiles, RUM is able to classify users as they browse applications, allowing the application developer to tailor the user interface according to the users’ needs and preferences. Findings The proposed approach was exploited to improve user experience in real-world Web applications. Experiments showed that RUM was effective to provide support for struggling users to complete tasks. Moreover, it was also effective to detect usage patterns and associate them with user profiles. Originality/value Although the literature reports studies that explore client logs to support both the detection of struggling users and the user profiling based on usage patterns, no existing solutions provide support for detecting users from specific profiles or struggling users, in real-time, while they are browsing Web applications. RUM also provides a toolkit that allows the approach to be easily deployed in any Web application.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

Light touch, heavy hand: principals and data-use PLCs

2017 ◽  
Vol 55 (4) ◽  
pp. 376-389 ◽  
Author(s):  
Alice Huguet ◽  
Caitlin C. Farrell ◽  
Julie A. Marsh
Keyword(s):  
Professional Learning ◽  
Low Income ◽  
Equal Opportunity ◽  
Data Use ◽  
Opportunity To Learn ◽  
School Level ◽  
Comparative Case Study ◽  
Data Set ◽  
Content Type ◽  
Principal's Role

Purpose The use of data for instructional improvement is prevalent in today’s educational landscape, yet policies calling for data use may result in significant variation at the school level. The purpose of this paper is to focus on tools and routines as mechanisms of principal influence on data-use professional learning communities (PLCs). Design/methodology/approach Data were collected through a comparative case study of two low-income, low-performing schools in one district. The data set included interview and focus group transcripts, observation field notes and documents, and was iteratively coded. Findings The two principals in the study employed tools and routines differently to influence ways that teachers interacted with data in their PLCs. Teachers who were given leeway to co-construct data-use tools found them to be more beneficial to their work. Findings also suggest that teachers’ data use may benefit from more flexibility in their day-to-day PLC routines. Research limitations/implications Closer examination of how tools are designed and time is spent in data-use PLCs may help the authors further understand the influence of the principal’s role. Originality/value Previous research has demonstrated that data use can improve teacher instruction, yet the varied implementation of data-use PLCs in this district illustrates that not all students have an equal opportunity to learn from teachers who meaningfully engage with data.

A dynamic simulator for the ergonomics evaluation of powered torque tools for human assembly

2017 ◽  
Vol 37 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Haluk Ay ◽  
Anthony Luscher ◽  
Carolyn Sommerich
Keyword(s):  
Risk Factors ◽  
Joint Torque ◽  
Human Hand ◽  
Model Parameters ◽  
Test Rig ◽  
Musculoskeletal Discomfort ◽  
Data Set ◽  
Content Type ◽  
Working Posture ◽  
Displacement Measurements

Purpose The purpose of this study is to design and develop a testing device to simulate interaction between human hand–arm dynamics, right-angle (RA) computer-controlled power torque tools and joint-tightening task-related variables. Design/methodology/approach The testing rig can simulate a variety of tools, tasks and operator conditions. The device includes custom data-acquisition electronics and graphical user interface-based software. The simulation of the human hand–arm dynamics is based on the rig’s four-bar mechanism-based design and mechanical components that provide adjustable stiffness (via pneumatic cylinder) and mass (via plates) and non-adjustable damping. The stiffness and mass values used are based on an experimentally validated hand–arm model that includes a database of model parameters. This database is with respect to gender and working posture, corresponding to experienced tool operators from a prior study. Findings The rig measures tool handle force and displacement responses simultaneously. Peak force and displacement coefficients of determination (R2) between rig estimations and human testing measurements were 0.98 and 0.85, respectively, for the same set of tools, tasks and operator conditions. The rig also provides predicted tool operator acceptability ratings, using a data set from a prior study of discomfort in experienced operators during torque tool use. Research limitations/implications Deviations from linearity may influence handle force and displacement measurements. Stiction (Coulomb friction) in the overall rig, as well as in the air cylinder piston, is neglected. The rig’s mechanical damping is not adjustable, despite the fact that human hand–arm damping varies with respect to gender and working posture. Deviations from these assumptions may affect the correlation of the handle force and displacement measurements with those of human testing for the same tool, task and operator conditions. Practical implications This test rig will allow the rapid assessment of the ergonomic performance of DC torque tools, saving considerable time in lineside applications and reducing the risk of worker injury. DC torque tools are an extremely effective way of increasing production rate and improving torque accuracy. Being a complex dynamic system, however, the performance of DC torque tools varies in each application. Changes in worker mass, damping and stiffness, as well as joint stiffness and tool program, make each application unique. This test rig models all of these factors and allows quick assessment. Social implications The use of this tool test rig will help to identify and understand risk factors that contribute to musculoskeletal disorders (MSDs) associated with the use of torque tools. Tool operators are subjected to large impulsive handle reaction forces, as joint torque builds up while tightening a fastener. Repeated exposure to such forces is associated with muscle soreness, fatigue and physical stress which are also risk factors for upper extremity injuries (MSDs; e.g. tendinosis, myofascial pain). Eccentric exercise exertions are known to cause damage to muscle tissue in untrained individuals and affect subsequent performance. Originality/value The rig provides a novel means for quantitative, repeatable dynamic evaluation of RA powered torque tools and objective selection of tightening programs. Compared to current static tool assessment methods, dynamic testing provides a more realistic tool assessment relative to the tool operator’s experience. This may lead to improvements in tool or controller design and reduction in associated musculoskeletal discomfort in operators.

Use of Basu-Dhar bivariate geometric distribution in the analysis of the reliability of component series systems

2019 ◽  
Vol 36 (4) ◽  
pp. 569-586
Author(s):  
Ricardo Puziol Oliveira ◽  
Jorge Alberto Achcar
Keyword(s):  
Bayesian Approach ◽  
Geometric Distribution ◽  
Bivariate Distribution ◽  
Dependence Structure ◽  
Series System ◽  
Engineering Applications ◽  
Data Set ◽  
Content Type ◽  
Bivariate Geometric Distribution ◽  
Series Systems

Purpose The purpose of this paper is to provide a new method to estimate the reliability of series system by using a discrete bivariate distribution. This problem is of great interest in industrial and engineering applications. Design/methodology/approach The authors considered the Basu–Dhar bivariate geometric distribution and a Bayesian approach with application to a simulated data set and an engineering data set. Findings From the obtained results of this study, the authors observe that the discrete Basu–Dhar bivariate probability distribution could be a good alternative in the analysis of series system structures with accurate inference results for the reliability of the system under a Bayesian approach. Originality/value System reliability studies usually assume independent lifetimes for the components (series, parallel or complex system structures) in the estimation of the reliability of the system. This assumption in general is not reasonable in many engineering applications, since it is possible that the presence of some dependence structure between the lifetimes of the components could affect the evaluation of the reliability of the system.

The effect of actual workplace learning on job satisfaction and organizational commitment

2019 ◽  
Vol 31 (8) ◽  
pp. 481-497 ◽  
Author(s):  
Geunpil Ryu ◽  
Seong-Gin Moon
Keyword(s):  
Job Satisfaction ◽  
Organizational Commitment ◽  
Human Resource Development ◽  
Workplace Learning ◽  
Learning Experience ◽  
Work Attitudes ◽  
Moderating Effect ◽  
Data Set ◽  
Content Type ◽  
Learning Programs

Purpose This study aims to examine the effect of workplace learning experience and intrinsic learning motive on job satisfaction and organizational commitment. In addition, the study examined the moderating effect of intrinsic learning motives on the relationship between learning experience and job satisfaction and organizational commitment. Design/methodology/approach The current research used the Human Capital Corporate Panel survey data set, which aimed to explore how human resource development practices influence corporate performance. In all, 10,003 samples from 441 companies were used for data analysis. Findings Results indicate that taking part in workplace learning programs positively affects job satisfaction and organizational commitment. Likewise, intrinsic learning motives are also positively related to work attitudes. However, no interaction effect between the intrinsic learning motive and the learning experience was found, which may imply that an autonomous extrinsic learning motive is a better predictor for explaining job satisfaction than is a purely intrinsic learning motive within an organizational context. Originality/value Little research has examined the actual effect of workplace learning programs on employees’ attitudes regarding job satisfaction and organizational commitment. Furthermore, to the authors’ knowledge, no research has examined the moderating effect of intrinsic learning motive with workplace learning experience on employees’ positive work attitudes.

A systematic review of educational leadership and management research in Turkey

2019 ◽  
Vol 57 (6) ◽  
pp. 731-747 ◽  
Author(s):  
Mehmet Şükrü Bellibaş ◽  
Sedat Gümüş
Keyword(s):  
Educational Leadership ◽  
School Improvement ◽  
Mixed Method ◽  
Educational Administration ◽  
Research Approach ◽  
Recent Effort ◽  
Data Set ◽  
Leadership And Management ◽  
Content Type ◽  
School Principalship

Purpose While the current knowledge in the field of educational leadership and management (EDLM) has been primarily based on research produced in English-speaking Western societies, there have been significant efforts by other societies to contribute to the knowledge production, especially during the past decade. The purpose of this paper is to identify the contribution of Turkey to the international EDLM literature by investigating the topical focus, conceptual frameworks and research designs of papers published by EDLM scholars from Turkey. Design/methodology/approach Descriptive content analysis method was employed to examine 315 empirical, review, conceptual and commentary papers published by Turkish scholars in core educational administration and Web of Science journals. The time period of the review left open-ended. However, in practical terms, it begins in the year 1994 when the first article from Turkey was published in any of the selected sources and ends at the end of 2018. Information relevant to the research was extracted from each article and was coded to facilitate quantitative analysis. Using Excel software, descriptive statistics including frequencies and percentages were provided for each research question. Findings Results show that Turkish EDLM scholars mostly rely on survey based quantitative research approach, employing advanced statistical techniques in the analysis of the data. However, mixed method and qualitative studies are relatively less common. Organizational behavior, school leadership and emotions stand out as most frequently used topics, while Turkish scholars are not interested in analyzing the educational outcomes such as student achievement and school improvement. Consistent with the findings related to topical foci, a large number of those who were interested in correlational studies examined the relationship between leadership roles and organizational behaviors. Research limitations/implications The data set only included journal articles and excluded conference proceedings, books and theses/dissertations. Nevertheless, the authors believe this review adds significantly to previous reviews of local EDLM journals conducted by Turkish scholars. The authors concluded that the Turkish scholars should direct their future research to exploring and better understanding the practices of Turkish principals in schools by: diversifying their research topics; incorporating more qualitative and mixed-method designs; and taking into account specific features of the culture and educational system in Turkey. Practical implications Based on the current higher education context, reducing scholars’ teaching load, diversifying research funding opportunities, and modifying access to tenure tracks seem necessary interventions to support EDLM research with strong ties to practice and to the sociocultural context. In addition, policy changes aiming professionalization of administrative positions and establishing some forms of formal training for school principalship are needed. Such changes can help transfer the knowledge produced by the Turkish EDLM researchers to the practice and provide solutions to problems related to school administration. Originality/value This paper will add to recent effort to identify how a developing nation outside Western perspective approaches the field, and contributes to the global knowledge base.

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