scholarly journals Toponym-assisted map georeferencing: Evaluating the use of toponyms for the digitization of map collections

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260039
Author(s):  
Karim Bahgat ◽  
Dan Runfola
Keyword(s):  
Data Extraction ◽  
Geographic Location ◽  
Mineral Resources ◽  
Future Research ◽  
Major Barrier ◽  
Automated Method ◽  
Wide Range ◽  
Political Boundaries ◽  
Efficient Processing ◽  
Historic Maps

A great deal of information is contained within archival maps—ranging from historic political boundaries, to mineral resources, to the locations of cultural landmarks. There are many ongoing efforts to preserve and digitize historic maps so that the information contained within them can be stored and analyzed efficiently. A major barrier to such map digitizing efforts is that the geographic location of each map is typically unknown and must be determined through an often slow and manual process known as georeferencing. To mitigate the time costs associated with the georeferencing process, this paper introduces a fully automated method based on map toponym (place name) labels. It is the first study to demonstrate these methods across a wide range of both simulated and real-world maps. We find that toponym-based georeferencing is sufficiently accurate to be used for data extraction purposes in nearly half of all cases. We make our implementation available to the wider research community through fully open-source replication code, as well as an online georeferencing tool, and highlight areas of improvement for future research. It is hoped that the practical implications of this research will allow for larger and more efficient processing and digitizing of map information for researchers, institutions, and the general public.

scholarly journals A living systematic review protocol for COVID-19 clinical trial registrations

2020 ◽  
Vol 5 ◽  
pp. 60 ◽  
Author(s):  
Brittany J. Maguire ◽  
Philippe J. Guérin
Keyword(s):  
Systematic Review ◽  
Clinical Trial ◽  
Clinical Trials ◽  
Data Extraction ◽  
Meta Analysis ◽  
Geographic Location ◽  
Diagnostic Methods ◽  
Future Research ◽  
Strong Response ◽  
Level Of Evidence

Since the coronavirus disease 2019 (COVID-19) outbreak was identified in December 2019 in Wuhan, China, a strong response from the research community has been observed with the proliferation of independent clinical trials assessing diagnostic methods, therapeutic and prophylactic strategies. While there is no intervention for the prevention or treatment of COVID-19 with proven clinical efficacy to date, tools to distil the current research landscape by intervention, level of evidence and those studies likely powered to address future research questions is essential. This living systematic review aims to provide an open, accessible and frequently updated resource summarising the characteristics of COVID-19 clinical trial registrations. Weekly search updates of the WHO International Clinical Trials Registry Platform (ICTRP) and source registries will be conducted. Data extraction by two independent reviewers of trial characteristic variables including categorisation of trial design, geographic location, intervention type and targets, level of evidence and intervention adaptability to low resource settings will be completed. Descriptive and thematic synthesis will be conducted. A searchable and interactive visualisation of the results database will be created, and made openly available online. Weekly results from the continued search updates will be published and made available on the Infectious Diseases Data Observatory (IDDO) website (COVID-19 website). This living systematic review will provide a useful resource of COVID-19 clinical trial registrations for researchers in a rapidly evolving context. In the future, this sustained review will allow prioritisation of research targets for individual patient data meta-analysis.

scholarly journals Supply chain risk management research agenda

2018 ◽  
Vol 24 (2) ◽  
pp. 567-588 ◽  
Author(s):  
Ozlem Bak
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Process Analysis ◽  
Geographic Location ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Academic Journal ◽  
Content Type ◽  
Wide Range

Purpose Supply chain risk (SCR) has increasingly attracted academic and corporate interest; however, the SCR debate in academic literature is rather limited to case- and location-specific studies. Hence, the purpose of this paper is to utilize a systematic literature review (SLR) to explore the SCR research trends and gaps within the management literature. Design/methodology/approach To achieve the research objective an SLR, looking into 25 years since 1990, into supply chain risk management (SCRM) was conducted, which resulted in 114 papers. Findings While the SCRM literature is growing, results from the SLR identified limited organized understanding of what constitutes a holistic SCR process, and high reliance of particular categories for SCR, such as the high reliance on specific country settings (the USA and the UK); limited presence of cross competitive SCR process analysis and challenges in developing conceptual SCR frameworks. Research limitations/implications The SCR embeds categories of location, scope of supply chain, risk management tools, and the industry sectors involved. The search for related publications was mainly used from a wide range of coverage from accountancy to design in SCR; hence, although there is indication to specific industries, and foci of risk, this could be explored further. Practical implications This review of SCRM identifies various research gaps and directions for future research to develop theory and a practical understanding of SCR. Originality/value The current literature on SCR has been assessed based on its definition and utilization. The current paper bridges this gap by synthesizing the diverse academic journal papers into the categories based on the design continuum, relationship continuum, process continuum and economic continuum. In addition, it highlights the gaps in industry context, theoretical contribution, geographic location, and research methods applied and addresses the scope for further research.

Organic farmer perceptions of reduced tillage: A Michigan farmer survey

2017 ◽  
Vol 34 (2) ◽  
pp. 103-115 ◽  
Author(s):  
Carolyn J. Lowry ◽  
Daniel C. Brainard
Keyword(s):  
Soil Quality ◽  
Residue Management ◽  
Future Research ◽  
Reduced Tillage ◽  
Field Crop ◽  
Major Barrier ◽  
Tillage Practices ◽  
Wide Range ◽  
Organic Farmers ◽  
Strip Tillage

AbstractA common critique of organic farming is that it is very tillage intensive, and therefore deleterious to soil quality. However, little information is available on the tillage practices currently employed by organic farmers, as well as organic farmers’ attitudes toward reduced tillage (RT). To address these knowledge gaps, a detailed written survey of Michigan organic field crop and vegetable farmers was conducted to investigate their current tillage practices, as well as their perceptions of the barriers and benefits to adoption of RT. Respondents reported a wide range in tillage frequency and intensity, both across and within production of specific crops, with operations split evenly between field preparation and cultivation. Compared with field crop growers, vegetable growers were generally smaller scale and relied more heavily on a limited set of tillage (e.g., rototiller) and cultivation tools. Interest in adoption of RT practices among respondents was low to moderate with median Likert scale ratings (0–7 scale with 0 representing no interest and 7 extreme interest) of 4 or less for all forms of RT. Vegetable growers were most interested in permanent beds, rotational tillage and strip tillage, whereas field crop growers were most interested in rotational tillage and strip tillage. The greatest perceived benefits to adoption of RT were improved soil quality and fuel savings. Both groups ranked weeds, impacts on yields, residue management and crop establishment as high barriers to RT adoption. Vegetable growers also cited lack of scale appropriate equipment as a major barrier. Survey results suggest that future research efforts should focus on overcoming key barriers to adoption, such as weed management and access to low-cost adaptable RT equipment rather than reiterating relatively well-known soil quality benefits. Our results also suggest that promotion of incremental reductions in the frequency and intensity of tillage operations on organic farms may be more realistic and equally valuable compared with promotion of more extreme forms of RT such as no-till.

scholarly journals Social media monitoring methods around vaccination: a systematic scoping review (Preprint)

2019 ◽  
Author(s):  
Emilie Karafillakis ◽  
Sam Martin ◽  
Clarissa Simas ◽  
Kate Olsson ◽  
Judit Takacs ◽  
...  
Keyword(s):  
Social Media ◽  
Scoping Review ◽  
Data Extraction ◽  
Search Strategies ◽  
Supervised Machine Learning ◽  
Future Research ◽  
Monitoring Methods ◽  
Wide Range ◽  
Social Media Monitoring ◽  
Media Monitoring

BACKGROUND Social media has changed the communication landscape, exposing individuals to an ever-growing amount of information while also allowing them to create and share content. While vaccine skepticism is not new, social media has amplified public concerns and facilitated their spread globally. Multiple studies have been conducted to monitor vaccination discussions on social media. However, there is currently insufficient evidence on the best methods to perform social media monitoring. OBJECTIVE This study aims to identify the methods most commonly used for monitoring different social media platforms around vaccination, their effectiveness and limitations. METHODS A systematic scoping review was conducted by applying a comprehensive search strategy to multiple databases in December 2018. The articles’ titles, abstracts and full texts were screened by two reviewers using inclusion and exclusion criteria. After data extraction, a descriptive analysis was performed to summarize the methods used to monitor and analyze social media, including data extraction tools, ethical considerations, search strategies, periods monitored, geo-localization of content, and sentiments, content and reach analyses. RESULTS This review identified 86 articles on social media monitoring of vaccination, most of them published after 2015. While 35 out of the 86 studies used manual browser search tools to collect data from social media, this was time-consuming and only allowed the analysis of small samples compared to social media application program interfaces (APIs) or automated monitoring tools. Although simple search strategies were considered less precise, only 10 out of the 86 studies used comprehensive lists of keywords (e.g., with hashtags or words related to specific events or concerns). Partly due to privacy settings, geo-localization of data was extremely difficult to obtain, limiting the possibility of conducting country-specific analyses. Finally, while 20 out of the 86 studies performed trend- or content-analyses, most analyzed sentiments towards vaccination (70% of studies, 60/86). Automated sentiment analyses, conducted using leverage or supervised machine learning or automated software, were fast and provided strong and accurate results. Most studies focused on negative (n=33) and positive (n=31) sentiments towards vaccination, and may have failed to capture the nuances and complexity of emotions around vaccination. Finally, 49 out of the 86 studies determined the reach of social media posts by looking at numbers of followers and engagement (e.g., retweets, shares, likes, etc.). CONCLUSIONS Social media monitoring still constitutes a new means to research and understanding public sentiments around vaccination. A wide range of methods are currently used by researchers. Future research should focus on evaluating these methods to offer more evidence and support the development of social media monitoring as a valuable research design. CLINICALTRIAL

Comparative Effects of High-Tech Visual Scene Displays and Low-Tech Isolated Picture Symbols on Engagement From Students With Multiple Disabilities

2019 ◽  
Vol 50 (4) ◽  
pp. 693-702 ◽  
Author(s):  
Christine Holyfield ◽  
Sydney Brooks ◽  
Allison Schluterman
Keyword(s):  
Language Learning ◽  
Augmentative And Alternative Communication ◽  
Visual Analysis ◽  
Multiple Disabilities ◽  
Visual Scene ◽  
Future Research ◽  
High Tech ◽  
Single Subject ◽  
Wide Range ◽  
The Difference

Purpose Augmentative and alternative communication (AAC) is an intervention approach that can promote communication and language in children with multiple disabilities who are beginning communicators. While a wide range of AAC technologies are available, little is known about the comparative effects of specific technology options. Given that engagement can be low for beginning communicators with multiple disabilities, the current study provides initial information about the comparative effects of 2 AAC technology options—high-tech visual scene displays (VSDs) and low-tech isolated picture symbols—on engagement. Method Three elementary-age beginning communicators with multiple disabilities participated. The study used a single-subject, alternating treatment design with each technology serving as a condition. Participants interacted with their school speech-language pathologists using each of the 2 technologies across 5 sessions in a block randomized order. Results According to visual analysis and nonoverlap of all pairs calculations, all 3 participants demonstrated more engagement with the high-tech VSDs than the low-tech isolated picture symbols as measured by their seconds of gaze toward each technology option. Despite the difference in engagement observed, there was no clear difference across the 2 conditions in engagement toward the communication partner or use of the AAC. Conclusions Clinicians can consider measuring engagement when evaluating AAC technology options for children with multiple disabilities and should consider evaluating high-tech VSDs as 1 technology option for them. Future research must explore the extent to which differences in engagement to particular AAC technologies result in differences in communication and language learning over time as might be expected.

Understanding Limited Use of Amplification in Infants and Children Who Are Hard of Hearing

2015 ◽  
Vol 25 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Ryan W. McCreery ◽  
Elizabeth A. Walker ◽  
Meredith Spratford
Keyword(s):  
Hard Of Hearing ◽  
Hearing Aid ◽  
Management Strategies ◽  
Infants And Children ◽  
Future Research ◽  
Research Needs ◽  
Case Examples ◽  
Hearing Aid Use ◽  
Wide Range ◽  
In Infants And Children

The effectiveness of amplification for infants and children can be mediated by how much the child uses the device. Existing research suggests that establishing hearing aid use can be challenging. A wide range of factors can influence hearing aid use in children, including the child's age, degree of hearing loss, and socioeconomic status. Audiological interventions, including using validated prescriptive approaches and verification, performing on-going training and orientation, and communicating with caregivers about hearing aid use can also increase hearing aid use by infants and children. Case examples are used to highlight the factors that influence hearing aid use. Potential management strategies and future research needs are also discussed.

The Attenuation of Very Low Frequency Brain Oscillations in Transitions from a Rest State to Active Attention

2009 ◽  
Vol 23 (4) ◽  
pp. 191-198 ◽  
Author(s):  
Suzannah K. Helps ◽  
Samantha J. Broyd ◽  
Christopher J. James ◽  
Anke Karl ◽  
Edmund J. S. Sonuga-Barke
Keyword(s):  
Brain Activity ◽  
Sampling Rate ◽  
Low Frequency ◽  
Future Research ◽  
Adhd Symptoms ◽  
Default Mode ◽  
Very Low Frequency ◽  
Wide Range ◽  
Interference Hypothesis ◽  
Mode Interference

Background: The default mode interference hypothesis ( Sonuga-Barke & Castellanos, 2007 ) predicts (1) the attenuation of very low frequency oscillations (VLFO; e.g., .05 Hz) in brain activity within the default mode network during the transition from rest to task, and (2) that failures to attenuate in this way will lead to an increased likelihood of periodic attention lapses that are synchronized to the VLFO pattern. Here, we tested these predictions using DC-EEG recordings within and outside of a previously identified network of electrode locations hypothesized to reflect DMN activity (i.e., S3 network; Helps et al., 2008 ). Method: 24 young adults (mean age 22.3 years; 8 male), sampled to include a wide range of ADHD symptoms, took part in a study of rest to task transitions. Two conditions were compared: 5 min of rest (eyes open) and a 10-min simple 2-choice RT task with a relatively high sampling rate (ISI 1 s). DC-EEG was recorded during both conditions, and the low-frequency spectrum was decomposed and measures of the power within specific bands extracted. Results: Shift from rest to task led to an attenuation of VLFO activity within the S3 network which was inversely associated with ADHD symptoms. RT during task also showed a VLFO signature. During task there was a small but significant degree of synchronization between EEG and RT in the VLFO band. Attenuators showed a lower degree of synchrony than nonattenuators. Discussion: The results provide some initial EEG-based support for the default mode interference hypothesis and suggest that failure to attenuate VLFO in the S3 network is associated with higher synchrony between low-frequency brain activity and RT fluctuations during a simple RT task. Although significant, the effects were small and future research should employ tasks with a higher sampling rate to increase the possibility of extracting robust and stable signals.

Impact of surgery timing for craniosynostosis on neurodevelopmental outcomes: a systematic review

2019 ◽  
Vol 23 (4) ◽  
pp. 442-454 ◽  
Author(s):  
Rachel Mandela ◽  
Maggie Bellew ◽  
Paul Chumas ◽  
Hannah Nash
Keyword(s):  
Systematic Review ◽  
Beneficial Effect ◽  
Data Extraction ◽  
Sociodemographic Factors ◽  
Future Research ◽  
Neurodevelopmental Outcomes ◽  
Age At Surgery ◽  
Data Extraction Form ◽  
Surgery Timing ◽  
Anesthetic Exposure

OBJECTIVEThere are currently no guidelines for the optimum age for surgical treatment of craniosynostosis. This systematic review summarizes and assesses evidence on whether there is an optimal age for surgery in terms of neurodevelopmental outcomes.METHODSThe databases MEDLINE, PsycINFO, CINAHL, Embase + Embase Classic, and Web of Science were searched between October and November 2016 and searches were repeated in July 2017. According to PICO (participants, intervention, comparison, outcome) criteria, studies were included that focused on: children diagnosed with nonsyndromic craniosynostosis, aged ≤ 5 years at time of surgery; corrective surgery for nonsyndromic craniosynostosis; comparison of age-at-surgery groups; and tests of cognitive and neurodevelopmental postoperative outcomes. Studies that did not compare age-at-surgery groups (e.g., those employing a correlational design alone) were excluded. Data were double-extracted by 2 authors using a modified version of the Cochrane data extraction form.RESULTSTen studies met the specified criteria; 5 found a beneficial effect of earlier surgery, and 5 did not. No study found a beneficial effect of later surgery. No study collected data on length of anesthetic exposure and only 1 study collected data on sociodemographic factors.CONCLUSIONSIt was difficult to draw firm conclusions from the results due to multiple confounding factors. There is some inconclusive evidence that earlier surgery is beneficial for patients with sagittal synostosis. The picture is even more mixed for other subtypes. There is no evidence that later surgery is beneficial. The authors recommend that future research use agreed-upon parameters for: age-at-surgery cut-offs, follow-up times, and outcome measures.

COVID-19 Outbreak Prediction with Machine Learning

2020 ◽  
Author(s):  
Sina Faizollahzadeh Ardabili ◽  
Amir Mosavi ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
Annamaria R. Varkonyi-Koczy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Fuzzy Inference ◽  
Control Measures ◽  
Future Research ◽  
Complex Nature ◽  
Inference System ◽  
Wide Range ◽  
Standard Models ◽  
High Level

Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and statistical models have received more attention by authorities, and they are popular in the media. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long-term prediction. Although the literature includes several attempts to address this issue, the essential generalization and robustness abilities of existing models needs to be improved. This paper presents a comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to SIR and SEIR models. Among a wide range of machine learning models investigated, two models showed promising results (i.e., multi-layered perceptron, MLP, and adaptive network-based fuzzy inference system, ANFIS). Based on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future research. Paper further suggests that real novelty in outbreak prediction can be realized through integrating machine learning and SEIR models.

Chinese Medicine Protein and Peptide in Gene and Cell Therapy

2019 ◽  
Vol 20 (3) ◽  
pp. 251-264 ◽  
Author(s):  
Yinlu Feng ◽  
Zifei Yin ◽  
Daniel Zhang ◽  
Arun Srivastava ◽  
Chen Ling
Keyword(s):  
Chinese Medicine ◽  
Cell Therapy ◽  
Future Research ◽  
The Past ◽  
Promising Strategy ◽  
Wide Range ◽  
New Directions ◽  
Gene And Cell Therapy ◽  
Proteins And Peptides

The success of gene and cell therapy in clinic during the past two decades as well as our expanding ability to manipulate these biomaterials are leading to new therapeutic options for a wide range of inherited and acquired diseases. Combining conventional therapies with this emerging field is a promising strategy to treat those previously-thought untreatable diseases. Traditional Chinese medicine (TCM) has evolved for thousands of years in China and still plays an important role in human health. As part of the active ingredients of TCM, proteins and peptides have attracted long-term enthusiasm of researchers. More recently, they have been utilized in gene and cell therapy, resulting in promising novel strategies to treat both cancer and non-cancer diseases. This manuscript presents a critical review on this field, accompanied with perspectives on the challenges and new directions for future research in this emerging frontier.

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