scholarly journals Few Tweets After Flu Peak: Twitter-based Influenza Detection by Referring Indirect Information (Preprint)

2017 ◽  
Author(s):  
Shoko Wakamiya ◽  
Yukiko Kawai ◽  
Eiji Aramaki
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Text Messages ◽  
Baseline Model ◽  
Social Networking Services ◽  
Direct Information ◽  
Novel Approach ◽  
Proposed Model ◽  
Indirect Information ◽  
Social Sensors

UNSTRUCTURED Background & Objective: The recent rise in popularity and scale of social networking services (SNSs) has resulted in an increasing need for SNS-based information extraction systems. A popular application of SNS data is health surveillance for predicting an outbreak of epidemics by detecting diseases from text messages posted on SNS platforms. Such applications share a following logic: they incorporate SNS users as social sensors. These social sensors-based approaches also share a common problem: SNS-based surveillances are much more reliable if sufficient numbers of users are active, and small or inactive populations produce inconsistent results. This paper proposes a novel approach that overcomes this problem using indirect information covering both urban areas and rural areas within the posts. Methods: To estimate the trend of the patient number in each area and each season, we present a TRAP model by embedding both direct information and indirect information. A collection of tweets spanning three years (seven million influenza-related tweets in Japanese) is used to evaluate the model. Both direct information and indirect information that mentions other places were used. As indirect information is less reliable (too noisy or too old) than direct information, the indirect information data were not utilized directly but were considered as inhibiting direct information. For example, when indirect information appeared often, it was considered as signifying that everyone already had a known disease, leading to a small amount of direct information. Results & Conclusions: The results evaluated using correlation coefficient revealed that the baseline model (BASELINE+NLP) shows 0.36, and the proposed model (TRAP+NLP) improved the accuracy (0.70, +0.34 points).

scholarly journals Micro and Macroelements in Honey and Atmospheric Pollution (NW and Central Poland)

Resources ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 86
Author(s):  
Małgorzata Gałczyńska ◽  
Renata Gamrat ◽  
Mateusz Bosiacki ◽  
Zofia Sotek ◽  
Małgorzata Stasińska ◽  
...  
Keyword(s):  
Atmospheric Pollution ◽  
Rural Areas ◽  
Urban Areas ◽  
Carcinogenic Risk ◽  
Threshold Values ◽  
Contamination Index ◽  
Eu Countries ◽  
Novel Approach ◽  
Carcinogenic Risk Assessment ◽  
The Eu

Urban vegetation is generally exposed to high levels of air pollution in airborne particles, with the greatest exposure in the EU being seen in Poland. With the continuing growth of urban populations, there is a need to confirm whether honey produced from urban areas is of similar high quality to that from rural areas. A total of 27 honey samples were collected from urban and rural apiaries and tested for the concentrations of 19 elements by ICP-OES. The results were compared with data on honey produced in old and new EU countries (metadata). Our evaluation used a novel approach to determine threshold values in the identification of the bioproduct contamination index. The analysed urban honey samples demonstrated higher concentrations of K, Sr, Ba, Ni, and Co, and lower levels of Mn and B than rural honey samples. Contamination by PM10 particles and the toxic elements contained in them proved to be a poor predictor of the content of these elements in honey, in contrast to the effect of atmospheric pollution measured during firework shows, which demonstrated higher concentrations of Ba, Pb, Ca, Cu, and Mg. The non-carcinogenic risk assessment indicated that the analysed honey samples are of good quality and are comparable or of even better quality than honey products from other EU countries.

scholarly journals An Accurate Probabilistic Model for TVWS Identification

2019 ◽  
Vol 9 (20) ◽  
pp. 4232 ◽  
Author(s):  
Danilo Corral-De-Witt ◽  
Sabbir Ahmed ◽  
Faroq Awin ◽  
José Luis Rojo-Álvarez ◽  
Kemal Tepe
Keyword(s):  
Rural Areas ◽  
Probabilistic Model ◽  
Urban Areas ◽  
Low Cost ◽  
False Alarm Probability ◽  
Energy Detection ◽  
Spectrum Efficiency ◽  
Secondary Users ◽  
Primary Users ◽  
Proposed Model

Television White Spaces (TVWS)-based cognitive radio systems can improve spectrum efficiency by facilitating opportunistic usage of television broadcasting spectrum by secondary users without interfering with primary users. Previously applied models introduce missed detection errors, giving a limited estimation of the spectrum occupancy, which does not correspond to the reality of its usage, hence resulting in a partial waste of this resource. Considering jointly parameters like false alarm probability and detection probability, this article proposes a probabilistic model that can identify TVWS with improved accuracy. The proposed model considers energy detection criteria, combined with simultaneous sensing of the noise and of the signal from primary users. In order to demonstrate the model effectiveness, a low-cost Mobile Spectrum Sensing Station prototype was designed, implemented, and subsequently mounted on a vehicle. More than eight million spatio-temporally variant data samples were collected by scanning the UHF-TV spectrum of 500–698 MHz in the city of Windsor, ON, Canada. Analysis of the collected data showed that the proposed model achieves an accuracy improvement of about 9.6% compared to existing models, demonstrating that TVWS vary with spatial displacement and increasing significantly in the rural areas. Even in the most crowded spectrum zone, about 28% of the channels are identified as TVWS, and this number increases to a maximum of 60% in less crowded regions in urban areas. We conclude that the proposed model improves the TVWS detection compared with other used models, and also that the elements considered in this research contribute to reduce the complexity of the mathematical calculations while maintaining the accuracy. A low-cost open-source sensing station has been designed and tested, which represents an operative and useful data source in this setting.

scholarly journals Access to electricity and digital inclusion: evidence from mobile call detail records

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Georges V. Houngbonon ◽  
Erwan Le Quentrec ◽  
Stefania Rubrichi
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Original Data ◽  
Text Messages ◽  
Sub Saharan Africa ◽  
Digital Inclusion ◽  
Data Set ◽  
Sub Saharan ◽  
The Impact ◽  
Call Detail Records

AbstractDespite significant progress in mobile connectivity, a large number of individuals in Sub-Saharan Africa are at risk of being left behind, especially those living in rural areas and women. In this paper, we use an original data set of mobile call detail records from Senegal and exploit variations across plausibly similar rural municipalities to assess the impact of access to electricity on mobile connectivity. We find that access to mobile connectivity for rural users, measured by mobile telephony subscriptions or smartphone ownership, increases with access to electricity, with a stronger impact for women. The impact on usage is also positive, but stems from the increased volume of incoming communications: rural mobile users with access to electricity do not place more calls than those with limited access; rather, they receive more calls and text messages from urban areas, especially those with higher living standards. These findings suggest that access to electricity can be a significant driver of digital inclusion in Sub-Saharan Africa.

An Epidemiological, Diagnostic and Therapeutic Study of Giardia lamblia in Anbar Province – Iraq

2019 ◽  
Vol 9 (01) ◽  
pp. 39-45
Author(s):  
Suad Shallal Shahatha
Keyword(s):  
Teaching Hospital ◽  
Rural Areas ◽  
Giardia Lamblia ◽  
Urban Areas ◽  
Culture Media ◽  
Age Groups ◽  
Stool Samples ◽  
Women And Children ◽  
Teucrium Polium L ◽  
Therapeutic Study

This study was carried out to investigate the epidemiology of Giardia lamblia parasites in patients who visited some of the hospitals in Anbar province, which included (Fallujah Teaching Hospital, Ramadi Teaching Hospital, Ramadi Teaching Hospital for Women and Children and Hit Hospital) during by examining 864 stool samples in a direct examination method, The results revealed the infection rate was 41.7 % and the percentage of infection among males 47.8% is higher than that of females 35.4% with significant differences (p≤0.05). The age groups (1-9) years recorded the highest rates 55.4% and the lowest rate 13.6% in the age group (40-49) years. The highest rate of infection was 62.5% during the month of June, while the month of October was the lowest rate 5% and significant differences. The incidence rate in rural areas was 50.6% higher than in the urban areas 32.5%. The study also included the effect of Teucrium polium L. on the parasite in the culture media HSP-1, the concentrations of 0.5-3 mg / mL significantly affected Giardia, it was noted whenever the greater the concentration, the greater the effect during different treatment periods (1-4) days, as the highest concentration 3 mg/ml killed all Giardia parasites on the fourth day of treatment.

A Study Of Expansion Of The Fmcg Market Across Rural Areas

2019 ◽  
Vol 118 (8) ◽  
pp. 142-151
Author(s):  
Dr. Udayagiri Raghunath ◽  
Dr. V.Venkateswara Rao
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Customer Choice ◽  
Income Levels ◽  
Rural Markets ◽  
Urban Markets ◽  
Tv Media ◽  
Rural Clients ◽  
Tv Watching

The corporate companies dealing with FMCG products have started focusing on rural markets as the urban markets have become saturated and highly competitive. Capturing the rural markets brings forth a whole new set of challenges as it is laborious to break in. This market presents the companies with gamut challenges on a new dimension which demand entirely different strategies as compared to the ones used in urban areas. Studying the rural markets for rural markets has become crucial more than ever. It is an objective learning, psychiatry of dispersion, impact of the FMCG in rural areas. This research uses diverse utensils, procedure toward analyze composed records. Several of the features used in analyzing the data are the consumer characteristics like educational qualifications, professions they are in, and the income levels. The role of TV media advertising is also analyzed. Many deals and promotions advertised on TV are investigated. The scope of authority wield by publicity happening customer choice production has looked into. The different levels of media exposure and preferable TV watching times and their favorite programs considered while analyzing the data. The spending prototype of rural clients on FMCG is examined and further categorized based on their income levels, educational qualifications, and legal awareness of consumer act. All the analyzed data, results, and suggestions presented in the visual formats.

TURNING FARMERS INTO SOCIAL FARMER ENTREPRENEURS FOR DISADVANTAGED PEOPLE

2020 ◽  
Author(s):  
Remus Runcan
Keyword(s):  
Rural Communities ◽  
Low Income ◽  
Rural Areas ◽  
Urban Areas ◽  
Health And Safety ◽  
Physical Work ◽  
Healthy Environment ◽  
Rural And Urban Areas ◽  
Rural Development Programme ◽  
Rural And Urban

According to Romania’s National Rural Development Programme, the socio-economic situation of the rural environment has a large number of weaknesses – among which low access to financial resources for small entrepreneurs and new business initiatives in rural areas and poorly developed entrepreneurial culture, characterized by a lack of basic managerial knowledge – but also a large number of opportunities – among which access of the rural population to lifelong learning and entrepreneurial skills development programmes and entrepreneurs’ access to financial instruments. The population in rural areas depends mainly on agricultural activities which give them subsistence living conditions. The gap between rural and urban areas is due to low income levels and employment rates, hence the need to obtain additional income for the population employed in subsistence and semi-subsistence farming, especially in the context of the depopulation trend. At the same time, the need to stimulate entrepreneurship in rural areas is high and is at a resonance with the need to increase the potential of rural communities from the perspective of landscape, culture, traditional activities and local resources. A solution could be to turn vegetal and / or animal farms into social farms – farms on which people with disabilities (but also adolescents and young people with anxiety, depression, self-harm, suicide, and alexithymia issues) might find a “foster” family, bed and meals in a natural, healthy environment, and share the farm’s activities with the farmer and the farmer’s family: “committing to a regular day / days and times for a mutually agreed period involves complying with any required health and safety practices (including use of protective clothing and equipment), engaging socially with the farm family members and other people working on and around the farm, and taking on tasks which would include working on the land, taking care of animals, or helping out with maintenance and other physical work”

Digital Entrepreneurship for Rural Youth: Entrepreneurial Process

2020 ◽  
Vol 11 (1) ◽  
pp. 76-76
Author(s):  
Wawan Dhewanto ◽  
Salma Azzahra ◽  
Vania NR Rhommadhonni ◽  
Fera Yunita
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Industrial Revolution ◽  
Social Inequalities ◽  
Rural Youth ◽  
Young Generation ◽  
Entrepreneurial Process ◽  
Depth Study ◽  
United Nation ◽  
Digital Entrepreneurship

The young generation has a very important role as the nation's next generation, so it needs special attention to make them strong and independent figures. The young age phase is also a determining gate for the future after completing education (United Nation, 2013). Unfortunately, in Indonesia the number of young unemployed reaches 22.48% (Central Bureau of Statistics, 2018). Under these conditions, one of the efforts that can be done to reduce the unemployment rate is through an entrepreneurial program (Fatoki, 2014). This is a challenge for all parties because Rahmatiah et al (2019) states that currently the young generation of Indonesia is still difficult to become entrepreneurs. Moreover, competition in the 4.0 industrial revolution era is getting tougher. For entrepreneurs in rural areas, the challenges faced are greater than those who live in urban areas (Azzahra & Dhewanto, 2017), however by utilizing digital technology and becoming digital entrepreneurs, rural residents are able to compete, minimize social inequalities and accelerate economic growth (Ratten, 2018 ). Only a few young people have the talent and interest to run a business (Ceptureanu & Ceptueanu, 2015). Therefore an in-depth study of the interests and entrepreneurial processes for rural youth to become a digital entrepreneur is needed. This research was conducted in order to have young digital entrepreneurs who came from rural areas to be able to compete in this 4.0 industry era. Thus, the research questions in this study are: (1). Why does rural youth want to be a digital entrepreneur? How is the entrepreneurial process of rural youth to become digital entrepreneurs? Keywords: Digital Entrepreneurship, Entrepreneurial Process, Rural Youth

Anomaly Detection via Mining Numerical Workflow Relations from Logs

2020 ◽  
Author(s):  
Bo Zhang ◽  
Hongyu Zhang ◽  
Pablo Moscato
Keyword(s):  
Distributed Systems ◽  
Anomaly Detection ◽  
Text Messages ◽  
Distributed File System ◽  
Log Data ◽  
Sliding Windows ◽  
Novel Approach ◽  
Hadoop Distributed File System ◽  
Blue Gene ◽  
Online Anomaly Detection

<div>Complex software intensive systems, especially distributed systems, generate logs for troubleshooting. The logs are text messages recording system events, which can help engineers determine the system's runtime status. This paper proposes a novel approach named ADR (stands for Anomaly Detection by workflow Relations) that employs matrix nullspace to mine numerical relations from log data. The mined relations can be used for both offline and online anomaly detection and facilitate fault diagnosis. We have evaluated ADR on log data collected from two distributed systems, HDFS (Hadoop Distributed File System) and BGL (IBM Blue Gene/L supercomputers system). ADR successfully mined 87 and 669 numerical relations from the logs and used them to detect anomalies with high precision and recall. For online anomaly detection, ADR employs PSO (Particle Swarm Optimization) to find the optimal sliding windows' size and achieves fast anomaly detection.</div><div>The experimental results confirm that ADR is effective for both offline and online anomaly detection. </div>

Management of Water Cycle: An Approach to Urban Ecology

1992 ◽  
Vol 27 (2) ◽  
pp. 221-238 ◽  
Author(s):  
W. Ripl
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Water Cycle ◽  
Cooling System ◽  
Thermal Power ◽  
Sewage Treatment ◽  
Balance Sheet ◽  
River System ◽  
Soil Restoration ◽  
Environmental Damage

Abstract Densely populated urban areas, which have developed over the last century, depend heavily on centralized water supply, sewage treatment plants, and hydroelectric or thermal power generation with vast demand of cooling water. Considerable areas have been drained or sealed, and the short-circuited water cycle has been distorted. Large rivers have been converted to shipping canals with the permanent risk of accidental pollution. Technical means such as sewage treatment, air filters, emission control and lake and soil restoration measures have contributed to correct the environmental damage. However, a balance sheet for irreversible matter losses (mainly base cation charges) from the urbanized areas and the surrounding landscape into the sea shows ever-increasing trends. These losses are destabilizing the ecosystems. In this paper, management of the water cycle in urban areas, together with the coupled matter cycles, is discussed. Particular reference is given to Metropolitan Berlin, with a network of shipping canals, which move biologically treated waste, containing base cations and nutrients to the surrounding rural areas. This could create manageable productive wetlands and re-establish soil fertility. At the same time, the natural cooling system close to the urban areas will be improved by providing more areas with permanent vegetation. In addition, reduction of the present large oscillations of the groundwater table, resulting from groundwater pumping and its recharge with less polluted surface water, is contemplated. The widely used shoreline infiltration of the Havel River should then be eliminated and the severe damage of the littoral vegetation in large sections of the Havel River system be avoided.

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