scholarly journals COMPETITIVE TECHNICAL INTELLIGENCE: USING PATENT DATA TO DETERMINE SMART CITY TRENDS

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Martin POTANČOK ◽  
Jan ČERNÝ
Keyword(s):  
Smart City ◽  
European Patent ◽  
Intelligence Analysis ◽  
Technical Intelligence ◽  
Time Period ◽  
Bibliographic Data ◽  
Intelligent City ◽  
Using Data ◽  
Specific Technology ◽  
Technology Trends

The aim of this paper is to define a method for uncovering smart city technology trends using competitive technical intelligence processes focused on intellectual property analysis using data visualisation. The authors introduce ways of gathering relevant core bibliographic data on the desired technology together with search preparation and query building. For demonstration purposes, the authors have used the European Patent Office datasets. The aim of this paper is to define a method for smart city competitive intelligence analysis focused on the main innovative companies and organizations and specific technology trends. The time period between the years 1997 and 2017 is used. Based on the results, the authors have indicated that Samsung is the leader in intelligent city innovations in this period. Five main product invention categories were also identified.

scholarly journals Longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Leyla A. Erozenci ◽  
Sander R. Piersma ◽  
Thang V. Pham ◽  
Irene V. Bijnsdorp ◽  
Connie R. Jimenez
Keyword(s):  
Expression Patterns ◽  
Interaction Network ◽  
Extracellular Vesicle ◽  
Protein Signaling ◽  
Protein Patterns ◽  
Specific Expression ◽  
Non Invasive ◽  
Data Independent Acquisition ◽  
Time Period ◽  
Using Data

AbstractThe protein content of urinary extracellular vesicles (EVs) is considered to be an attractive non-invasive biomarker source. However, little is known about the consistency and variability of urinary EV proteins within and between individuals over a longer time-period. Here, we evaluated the stability of the urinary EV proteomes of 8 healthy individuals at 9 timepoints over 6 months using data-independent-acquisition mass spectrometry. The 1802 identified proteins had a high correlation amongst all samples, with 40% of the proteome detected in every sample and 90% detected in more than 1 individual at all timepoints. Unsupervised analysis of top 10% most variable proteins yielded person-specific profiles. The core EV-protein-interaction network of 516 proteins detected in all measured samples revealed sub-clusters involved in the biological processes of G-protein signaling, cytoskeletal transport, cellular energy metabolism and immunity. Furthermore, gender-specific expression patterns were detected in the urinary EV proteome. Our findings indicate that the urinary EV proteome is stable in longitudinal samples of healthy subjects over a prolonged time-period, further underscoring its potential for reliable non-invasive diagnostic/prognostic biomarkers.

scholarly journals 33. Concerning Trends of Pediatric Leprosy in Minas Gerais, Brazil and Associations with Number of Municipality Medical Facilities

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S17-S17
Author(s):  
Taylor Landay ◽  
Julie A Clennon ◽  
José A Ferreira ◽  
Lucia A Fraga ◽  
Maria Aparecida F Grossi ◽  
...  
Keyword(s):  
Cross Sectional Study ◽  
Minas Gerais ◽  
Chi Square ◽  
Cross Sectional ◽  
Period 2 ◽  
Time Period ◽  
Medical Facilities ◽  
Age Of Diagnosis ◽  
Using Data ◽  
Incident Cases

Abstract Background Leprosy in children under 15 years of age, and in particular, the presence of leprosy grade 2 disability (G2D) in children, signifies ongoing transmission and the need for improved surveillance. Our objective was to describe the epidemiology of pediatric leprosy in Minas Gerais, Brazil and to explore associations with access to medical facilities. Methods A cross-sectional study was conducted using data from the Brazilian Notifiable Diseases Surveillance System (SINAN) from 2002–2017. Incident cases were included if they resided in a municipality with both adult and pediatric cases. Municipalities were divided by the number of medical facilities per municipality: < 5, 5–17, and 18 or higher. Analyses compared pediatric cases across two time periods (2002–2009 and 2010–2017) and number of medical facilities / municipality using chi-square, t-tests, and logistic regression. Results A total of 27,725 cases were reported with 1,611 under 15 years of age. Overall incidence declined from 34.8 per 100,000 to 13.6 per 100,000 during the study period with pediatric incidence declining from 2.6 per 100,000 to 0.8 per 100,000. Time period 2 (TP2) showed an increase in the proportion of pediatric G2D (2.58% vs 1.91%, p < 0.0001) when compared to time period 1 (TP1). Mean age of diagnosis in children was younger in TP2 then in TP1 (10.06 vs 10.43, p=0.02). In 2017, the pediatric incidence in municipalities with the fewest medical facilities was 0.95 per 100,000 compared to 0.23 per 100,000 in municipalities with > 5 facilities (p=0.009). There was significantly higher odds of disability at diagnosis (grades 1 and 2) in pediatric cases residing in municipalities with < 5 medical facilities (aOR 1.88; 95% CI 1.37–2.59), adjusted for age and sex. See map (Fig 1). Figure 1. Cases of Pediatric Disability By Number of Municipality Medical Facilities from 2002–2017 (White areas without reported pediatric leprosy) Conclusion The increasing proportion of G2D in children in the second half of the study period despite declining incidence suggest occult infections among children and adults alike in Minas Gerais. Furthermore, the average age of diagnosis in children should increase, not decrease, if M. leprae transmission was truly declining. Lastly, the association between fewer municipality health facilities and increased disability suggest barriers to timely diagnosis and a critical area of focus for research into access to healthcare and leprosy risk. Disclosures All Authors: No reported disclosures

scholarly journals Study on the Construction and Application of 3D Geographic Information Services for the Smart City

2014 ◽  
Vol II-4 ◽  
pp. 41-44 ◽  
Author(s):  
W.-Q. Mao
Keyword(s):  
Public Service ◽  
Smart City ◽  
Development Process ◽  
Three Dimensional ◽  
Geographic Information ◽  
Information Services ◽  
Important Goal ◽  
Intelligent City ◽  
City Construction ◽  
Information Characteristics

Smart City, whose main characteristics are intelligence and interconnection capability, has become an important goal of some cities’ development. This paper, based on urban three-dimensional geographic information characteristics, analyses 3D geographic information requirements in the Smart City construction and development process, proposes construction and management methods for 3D geographic information. Furthermore, this paper takes Shanghai Geographic Information Public Service Platform as an example, discusses 3D geographic information application in multiple fields, and proves that it is an effective ways to promote Intelligent City construction.

scholarly journals Spatial and spatio-temporal analysis of Salmonella infection in dairy herds in England and Wales

2008 ◽  
Vol 137 (6) ◽  
pp. 847-857 ◽  
Author(s):  
S. E. FENTON ◽  
H. E. CLOUGH ◽  
P. J. DIGGLE ◽  
S. J. EVANS ◽  
H. C. DAVISON ◽  
...  
Keyword(s):  
Transition Probabilities ◽  
Spatial Clustering ◽  
Markov Chain Model ◽  
Temporal Analysis ◽  
Dairy Herds ◽  
Chain Model ◽  
Time Period ◽  
Spatio Temporal ◽  
Using Data ◽  
Residual Deviance

SUMMARYUsing data from a cohort study conducted by the Veterinary Laboratories Agency (VLA), evidence of spatial clustering at distances up to 30 km was found for S. Agama and S. Dublin (P values of 0·001) and borderline evidence was found for spatial clustering of S. Typhimurium (P=0·077). The evolution of infection status of study farms over time was modelled using a Markov Chain model with transition probabilities describing changes in status at each of four visits, allowing for the effect of sampling visit. The degree of geographical clustering of infection, having allowed for temporal effects, was assessed by comparing the residual deviance from a model including a measure of recent neighbourhood infection levels with one excluding this variable. The number of cases arising within a defined distance and time period of an index case was higher than expected. This provides evidence for spatial and spatio-temporal clustering, which suggests either a contagious process (e.g. through direct or indirect farm-to-farm transmission) or geographically localized environmental and/or farm factors which increase the risk of infection. The results emphasize the different epidemiology of the three Salmonella serovars investigated.

Future Directions in Robotic Neurosurgery

2021 ◽  
Author(s):  
Christopher R Wagner ◽  
Timothy Phillips ◽  
Serge Roux ◽  
Joseph P Corrigan
Keyword(s):  
Machine Learning ◽  
Operating Room ◽  
Key Factors ◽  
Future Directions ◽  
Factors Affecting ◽  
Implementation Challenges ◽  
Image Guided ◽  
Robotic Neurosurgery ◽  
Specific Technology ◽  
Technology Trends

Abstract In this paper, we highlight promising technologies in each phase of a robotic neurosurgery operation, and identify key factors affecting how quickly these technologies will mature into products in the operating room. We focus on specific technology trends in image-guided cranial and spinal procedures, including advances in imaging, machine learning, robotics, and novel interfaces. For each technology, we discuss the required effort to overcome safety or implementation challenges, as well as identifying example regulatory approved products in related fields for comparison. The goal is to provide a roadmap for clinicians as to which robotic and automation technologies are in the developmental pipeline, and which ones are likely to impact their practice sooner, rather than later.

Smart and Accessible Cities?

2021 ◽  
pp. 115-145
Author(s):  
Ana Clara Rucci ◽  
Natalia Porto ◽  
Simon Darcy ◽  
Leandro Becka
Keyword(s):  
Smart City ◽  
Buenos Aires ◽  
People With Disabilities ◽  
Technology Trends ◽  
Sydney Australia

This chapter aims to discuss disability, aging, and accessibility and their relationship with technology trends, taking into account a world full of different kind of constraints, taking Buenos Aires (Argentina) and Sydney (Australia) as study cases. Moreover, the authors also study how a hypothetically smart and accessible city could set the basis for making it touristic for all. Particularly, this chapter focuses on how cities that are being designed and planned under the smart city/destination model do not always consider people with disabilities and seniors in their models. So, these models that leave out more than the 30% of the world's population are not only inappropriate but also ineffective and inefficient, and consequently challenge the underlining sustainability of such projects.

scholarly journals Trends in International Incidence of Pediatric Cancers in Children Under 5 Years of Age: 1988–2012

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Aubrey K Hubbard ◽  
Logan G Spector ◽  
Giulio Fortuna ◽  
Erin L Marcotte ◽  
Jenny N Poynter
Keyword(s):  
Cancer Incidence ◽  
Pediatric Cancer ◽  
Myeloid Leukemia ◽  
Lymphoblastic Leukemia ◽  
Annual Percent Change ◽  
Incidence Trends ◽  
Time Period ◽  
Multiple Regions ◽  
Using Data ◽  
Children Under 5

AbstractBackgroundPediatric cancer incidence has been steadily increasing over the last several decades with the largest increases reported in infants. Few evaluations have looked at international pediatric cancer incidence trends in the youngest children. The aim of this analysis was to evaluate trends in cancer incidence in children under 5 years of age, overall and by type, using data from Cancer Incidence in 5 Continents (CI5) from 1988 to 2012 (CI5 volumes VII–XI).MethodsRates of cancers in children ages 0–4 years were extracted from registries available in CI5 from 1988 to 2012. To overcome small numbers in individual registries, numerators and denominators were aggregated within regions corresponding to the United Nations’ geoscheme. Average annual percent change (AAPC) was estimated using Poisson regression.  Robust standard errors were used in all models to correct for overdispersion in some regions, and 95% Wald confidence intervals and P values were reported. The top five cancers by increasing AAPC were ranked within each region.ResultsOverall, in children under 5 years, increasing incidence was seen in multiple regions for acute lymphoblastic leukemia, acute myeloid leukemia, ependymal tumors, neuroblastoma, and hepatoblastoma. Hepatoblastoma had the largest AAPC in 11 out of 15 regions and showed an increase in all regions except southern Asia. Astrocytic tumors were the only cancer that decreased over the time period.ConclusionsWe evaluated 25 years of cancer incidence in children ages 0–4 years and observed increases in incidence for hepatoblastoma, leukemia, neuroblastoma, and ependymal tumors. Further etiologic evaluation will be required to explain these increases in incidence.

scholarly journals Self-adapting Classification System for Swallow Intention Detection in Dysphagia Therapy

2019 ◽  
Vol 5 (1) ◽  
pp. 49-52
Author(s):  
Benjamin Riebold ◽  
Holger Nahrstaedt ◽  
Thomas Schauer ◽  
Rainer O. Seidl
Keyword(s):  
Random Forest ◽  
Healthy Subjects ◽  
Random Forest Classifier ◽  
Therapy Session ◽  
Biofeedback Therapy ◽  
Timely Manner ◽  
Optimal Classifier ◽  
Time Period ◽  
Using Data ◽  
Dysphagia Therapy

AbstractIn dysphagia the ability of elevating the larynx and hyoid is usually impaired. Electromyography (EMG) and Bioimpedance (BI) measurements at the neck can be used to trigger functional electrical stimulation (FES) of swallowing related muscles. The height and speed of larynx elevation can be assessed by evaluating the BI during a swallow. For the triggering of an supporting FES and for biofeedback online detection of swallow onsets is required. Patients can practice by a gamified biofeedback to swallow harder, swallow in a timely manner or to maintain the larynx elevation for a longer time period (Mendelson maneuver). The success of the stimulation and biofeedback therapy as well as the acceptance by the patient strongly depends on the precise detection of swallow onsets. We have introduced a classification algorithm based on a random forest classifier to trigger FES in phase with voluntary swallowing based on EMG and BI. Although the classification is successful in healthy subjects, difficulties appear in the utilization on some patients. The reason for this can be found in a strongly varying residual swallow activity. Usually the activity of EMG and change in BI are smaller in patients compared to healthy subjects. Thus an adaption procedure is needed, that can be easily applied. In this paper we introduce an algorithm that is capable to find an optimal classifier for a patient in terms of sensitivity. The adaption algorithm uses a small number of recorded swallow onsets of a patient at the beginning of a therapy session to evaluate different classifiers and to pick the most suitable for the treatment. The set of random forest classifiers has been trained with data from healthy subjects by step wise shifting the class weights of swallows and non-swallows, yielding classifiers with different sensitivities. The evaluation is done using data from 41 patients. It showed that the sensitivity of the classification can be increased by 4 to 6 % in average compared to fixed classifiers, but up to 66 % for individual patients. Finally, we studied the effect this adaptive classifier in triggered stimulation therapy in a single dysphagia patient. Swallowing performance was measurements during one week of therapy consisting of eleven therapy session. An improvement of 40 and 63 % in larynx elevation and speed could be observed, respectively.

Treasury Bond Illiquidity and Global Equity Returns

2014 ◽  
Vol 49 (5-6) ◽  
pp. 1227-1253 ◽  
Author(s):  
Ruslan Goyenko ◽  
Sergei Sarkissian
Keyword(s):  
Asset Pricing ◽  
Equity Returns ◽  
Asset Valuation ◽  
Macroeconomic Shocks ◽  
Country Level ◽  
Time Period ◽  
Treasury Bond ◽  
Using Data ◽  
The Impact ◽  
Asset Pricing Tests

AbstractIn this study, using data from 46 markets and a 34-year time period, we examine the impact of the illiquidity of U.S. Treasuries on global asset valuation. We find that it predicts equity returns in both developed and emerging markets. This predictive relation remains intact after controlling for various world- and country-level variables. Asset pricing tests further reveal that bond illiquidity is a priced factor even in the presence of other conventional risks. Since the illiquidity of Treasuries is known to reflect monetary and macroeconomic shocks, our results suggest that it can be considered a proxy for aggregate worldwide risks.

scholarly journals CitySpeed: A Crowdsensing-Based Integrated Platform for General-Purpose Monitoring of Vehicular Speeds in Smart Cities

Smart Cities ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 46-65 ◽  
Author(s):  
Daniel Costa ◽  
Adson Damasceno ◽  
Ivanovitch Silva
Keyword(s):  
Smart City ◽  
Urban Areas ◽  
Large Scale ◽  
Smart Cities ◽  
General Purpose ◽  
Software Application ◽  
Management Actions ◽  
Modern Cities ◽  
Time Period ◽  
Search Filters

The development of crowdsensing-based technologies has allowed for the use of smartphones in large-scale data collection for different scopes of applications, mostly in a transparent and ubiquitous way. When concerning urban areas and smart city initiatives, the collection and further analysis of information about the highest number of vehicles is of paramount importance, potentially supporting more efficient mobility planning and management actions in modern cities. In this context, this article proposes a public general-purpose platform for acquisition and visualization of vehicular speeds, which can then be exploited by any additional application. For that, a crowdsensing-based mobile software application was developed to collect instantaneous speeds provided by smartphone GPS, formatting and distributing this information to a database system. Such historical data can then be exported or visualized through a web-based comprehensive interface, which provides valuable data when planning traffic mobility in cities; for example, indicating areas with heavier traffic over a certain time period. Therefore, allowing the use of many different search filters and supporting data delivery in the JSON format, the CitySpeed platform can provide services not supported by popular applications, such as Waze and Google Maps, and potentially assist smart city initiatives in this area.

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