scholarly journals A Pipeline for Rapid Post-Crisis Twitter Data Acquisition, Filtering and Visualization

Technologies ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 33
Author(s):  
Mayank Kejriwal ◽  
Yao Gu
Keyword(s):  
Research Area ◽  
Visual Exploration ◽  
Crisis Informatics ◽  
Rapid Acquisition ◽  
Learning Framework ◽  
Recent Case Study ◽  
Social Media Platforms ◽  
Instant Availability ◽  
Minimally Supervised

Due to instant availability of data on social media platforms like Twitter, and advances in machine learning and data management technology, real-time crisis informatics has emerged as a prolific research area in the last decade. Although several benchmarks are now available, especially on portals like CrisisLex, an important, practical problem that has not been addressed thus far is the rapid acquisition, benchmarking and visual exploration of data from free, publicly available streams like the Twitter API in the immediate aftermath of a crisis. In this paper, we present such a pipeline for facilitating immediate post-crisis data collection, curation and relevance filtering from the Twitter API. The pipeline is minimally supervised, alleviating the need for feature engineering by including a judicious mix of data preprocessing and fast text embeddings, along with an active learning framework. We illustrate the utility of the pipeline by describing a recent case study wherein it was used to collect and analyze millions of tweets in the immediate aftermath of the Las Vegas shootings in 2017.

Breaking the Shackles of Gender Stereotyping to Create New Norms: The Case of Zimbabwean Migrant Women in Mthatha Town

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Sanction Madambi
Keyword(s):  
South Africa ◽  
Gender Stereotyping ◽  
Personal Agency ◽  
Migrant Women ◽  
Host Countries ◽  
Qualitative Research Design ◽  
Norms And Values ◽  
Recent Case Study ◽  
Traditional Approaches

The migration of Zimbabweans into South Africa is shaped by several factors and processes. Traditionally, the decision to migrate was mostly based on family considerations (where gender stereotypic roles were a priority), although in some cases the migrants exercised individualism and personal agency. This led to migration trends that were male dominated. Current Zimbabwean migration trends reflect large volumes of women as the socio-economic crisis forces them to leave their country. These migrant women encounter a myriad of challenges in their host countries. This paper explores Zimbabwean women’s migration to the town of Mthatha in South Africa, highlighting their challenges and the strategies they employ to overcome these, as found in a recent case study. Applying a qualitative research design and using questionnaires and interviews to gather data from the 100 purposively sampled women, the study found that many Zimbabwean migrant women in Mthatha encountered numerous challenges. They lacked the required documents to live and work in South Africa, experienced exploitation and marriage constraints, and had broken ties with their families back in Zimbabwe. According to the study, these women managed to navigate these challenges, rising above the stereotypic norms and values that used to label them as non-productive citizens to superheroes who were supporting their families and the country’s economy—thus breaking the shackles of gender stereotyping to create new norms. These findings underline the importance of shifting from the traditional approaches to women migration and pursuing perspectives that present migration as a critical component of the process of social change and development to all migrants.

The Influence of Wharfs on School Children: A Case Study of Portee Wharf in Freetown, Sierra Leone

2019 ◽  
Vol 2 (3) ◽  
pp. 128-140
Author(s):  
Alhaji Bakar Kamara
Keyword(s):  
West Africa ◽  
Sierra Leone ◽  
School Children ◽  
Research Area ◽  
Background Information ◽  
Control Problems

The focus of this research is to investigate the influence of wharfs on school children. Therefore it will report the findings of the result on the influences of wharfs on school children with specific case on Portee Wharf in Freetown, Sierra Leone in West Africa. In this regard, the introduction describes the research area, stating the statement of the problem, the overall goal and specific objectives that will be attained in this study, justification for selecting the topic, problems to be encountered during the course of carrying out this research and major influences. Besides, an indication of the methods used to investigate the topic will also be highlighted. Moreover, the studies will analyze the actual responses of the respondents of the activities of the wharf on school-going children. It will address the questionnaire in accordance with the following: Background information of respondents, this investigated areas such as sex, age, religion, occupation and tribe; It enquires about the activities of the wharfs, reasons and consequences of children engaged in wharfs and strategies to control problems that may emanate from the wharf. The paper will show the findings, gives the summary, conclusion and recommendations of problems identified while carrying out the research.

scholarly journals Boundary Loss-Based 2.5D Fully Convolutional Neural Networks Approach for Segmentation: A Case Study of the Liver and Tumor on Computed Tomography

Algorithms ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 144
Author(s):  
Yuexing Han ◽  
Xiaolong Li ◽  
Bing Wang ◽  
Lu Wang
Keyword(s):  
Image Segmentation ◽  
Spatial Information ◽  
Medical Images ◽  
Tumor Segmentation ◽  
Convolutional Networks ◽  
Learning Framework ◽  
Fully Convolutional Networks ◽  
Segmentation Accuracy ◽  
Boundary Information

Image segmentation plays an important role in the field of image processing, helping to understand images and recognize objects. However, most existing methods are often unable to effectively explore the spatial information in 3D image segmentation, and they neglect the information from the contours and boundaries of the observed objects. In addition, shape boundaries can help to locate the positions of the observed objects, but most of the existing loss functions neglect the information from the boundaries. To overcome these shortcomings, this paper presents a new cascaded 2.5D fully convolutional networks (FCNs) learning framework to segment 3D medical images. A new boundary loss that incorporates distance, area, and boundary information is also proposed for the cascaded FCNs to learning more boundary and contour features from the 3D medical images. Moreover, an effective post-processing method is developed to further improve the segmentation accuracy. We verified the proposed method on LITS and 3DIRCADb datasets that include the liver and tumors. The experimental results show that the performance of the proposed method is better than existing methods with a Dice Per Case score of 74.5% for tumor segmentation, indicating the effectiveness of the proposed method.

scholarly journals The Enabling Role of Digital Technologies in Sustainability Accounting: Findings from Norwegian Manufacturing Companies

Systems ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 33
Author(s):  
Olena Klymenko ◽  
Lise Lillebrygfjeld Halse ◽  
Bjørn Jæger
Keyword(s):  
Research Area ◽  
Digital Data ◽  
Manufacturing Companies ◽  
Sustainable Operations ◽  
Business Model Canvas ◽  
Automation And Control ◽  
Sustainability Accounting ◽  
And Control

Sustainability accounting is an emerging research area receiving growing awareness. This study examines the role of digital technology in manufacturing companies’ sustainability accounting. To guide the research, we use a triple layered business model canvas, which supports the accounting of a manufacturer’s performance for the economic, environmental, and social aspects of sustainability. We present an explorative case study of four Norwegian manufacturing companies representing different industries. The findings from the study indicate that while accounting for economic values is well taken care of, companies do not perform comprehensive environmental and social accounting. Furthermore, we observed a shift from a focus on sustainability issues related to the internal manufacturing process to a focus on sustainability issues for the life cycle of the product. Even though the manufacturers are at the forefront with regard to automation and control of production, with extensive use of robots giving a large amount of data, these data are not utilized towards sustainability accounting, showing that sustainability and digitalization are seen as two separate phenomena. This study sheds light on how digital data available from applied Industry 4.0 technologies could enhance sustainability accounting with limited efforts, linking sustainability and digitalization. The results provide insights for manufacturers and researchers in moving towards more sustainable operations and products.

scholarly journals A Tale of Two Disasters

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 694-694
Author(s):  
Tammy Mermelstein
Keyword(s):  
Older Adults ◽  
Social Media ◽  
Interest Group ◽  
Media Analysis ◽  
Ice Storm ◽  
Social Media Analysis ◽  
Individual Survival ◽  
Social Media Platforms

Abstract Preparing for or experiencing a disaster is never easy, but how leaders communicate with older adults can ease a situation or make it exponentially worse. This case study describes two disasters in the same city: Hurricane Harvey and the 2018 Houston Texas Ice Storm and the variation in messaging provided to and regarding older adults. For example, during Hurricane Harvey, the primary pre-disaster message was self-preparedness. During the storm, messages were also about individual survival. Statements such as “do not [climb into your attic] unless you have an ax or means to break through,” generated additional fear for older adults and loved ones. Yet, when an ice storm paralyzed Houston a few months later, public messaging had a strong “check on your elderly neighbors” component. This talk will explore how messaging for these events impacted older adults through traditional and social media analysis, and describe how social media platforms assisted people with rescue and recovery. Part of a symposium sponsored by Disasters and Older Adults Interest Group.

scholarly journals Developing a social media strategy for R&D in energy efficiency – a case study in progress

2019 ◽  
Vol 116 ◽  
pp. 00006
Author(s):  
Elmar Bartlmae ◽  
Luis Arboledas-Lérida ◽  
Natalie Höppner
Keyword(s):  
Social Media ◽  
Energy Efficiency ◽  
Research And Development ◽  
Online Tool ◽  
Assessment And Evaluation ◽  
Evaluation Procedures ◽  
Social Media Platforms ◽  
Social Media Strategy

Social Media platforms are increasingly receiving attention from scholars, as they are presumed to be both useful tools for undertaking professional assignments and a medium for engaging with large audiences and communities, within and outside academia. Additionally, these novel practices online need proper assessment and evaluation procedures. This paper aims to address the possibilities and challenges for niche research and development (R&D) projects in communicating their research via social media. The authors applied a seven-step social media strategy to an ongoing energy efficiency case study and discuss an online tool for monitoring the respective impact on social media.

Exploring trainers’ engaging instructional practices: a collective case study

2016 ◽  
Vol 40 (2) ◽  
pp. 111-127 ◽  
Author(s):  
Vishal Arghode ◽  
Jia Wang
Keyword(s):  
Learning Styles ◽  
Learning Outcomes ◽  
Training Session ◽  
Research Area ◽  
Small Sample ◽  
Training Context ◽  
Content Type ◽  
Collective Case Study ◽  
Study Approach

Purpose – This study aims to explore the phenomenon of training engagement from the trainers’ perspective. Specifically, two questions guided this inquiry. First, how do trainers define engagement in the training context? and What strategies do trainers use to engage trainees? Design/methodology/approach – The collective case study approach was adopted for this qualitative study. Seven cases were selected for in-depth analyses. Data were collected through individual, face-to-face interviews and analyzed using the constant comparative analysis method. Findings – Major findings suggest that engaging training practices take various forms. They include being trainee-centered, maximizing learning through entertaining and interesting instruction, accommodating different learning styles, eliciting trainee participation by creating an encouraging learning environment and connecting with trainees by building rapport early in a training session. Research limitations/implications – The small sample limits the generalizability of the findings. However, this study expands training literature by focusing on an under-explored research area, the role of engaging trainees in maximizing learning outcomes. Practical implications – For trainers, this study offered some specific strategies they can use to engage learners in the training context to achieve desired learning outcomes. In addition, the seven cases selected for this study may be used as a benchmark against which both experienced and novice trainers compared their own practices. Originality/value – This is one of very few qualitative studies with a focus on emotional aspects involved in training. The rich data from this study shed light on areas for future improvement, particularly regarding how to effectively engage trainees to maximize learning outcomes.

Two-step Deep Learning Framework for Chronic Wounds Detection and Segmentation: A Case Study in Colombia

2021 ◽  
Author(s):  
Brayan Monroy ◽  
Jorge Bacca ◽  
Karen Sanchez ◽  
Henry Arguello ◽  
Sergio Castillo
Keyword(s):  
Deep Learning ◽  
Chronic Wounds ◽  
Learning Framework
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